The 365 pod

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Imogen DeVille: Jeff, hi, Jeff.

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JEFF WILLINGER: Hey, Imo, how are you?

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Imogen DeVille: I’m good.

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Imogen DeVille: Thank you.

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Imogen DeVille: Thank you so much for being on the
podcast this month.

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Imogen DeVille: Did you want to do a little intro for all
our listeners?

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JEFF WILLINGER: Sure. Jeff Willinger,
originally a New Yorker,

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JEFF WILLINGER: then Chicago and now Southern California.

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JEFF WILLINGER: Arguably the three greatest spots in the
United States,

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JEFF WILLINGER: I’ve been in the Microsoft ecosystem for
20 plus years.

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JEFF WILLINGER: MVP for about nine years.

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JEFF WILLINGER: Very passionate about creating cultures
of collaboration and really.

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JEFF WILLINGER: You know,
nowadays organizations are doing a lot

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JEFF WILLINGER: more with less, so people are getting.

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JEFF WILLINGER: Caught organization’s budgets are getting
cut, but yet they still need to operate.

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JEFF WILLINGER: So what’s the best way to do that?

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JEFF WILLINGER: My job in life is to be there, sort of.

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JEFF WILLINGER: I’ll call that a productivity or
efficiency Sherpa.

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JEFF WILLINGER: I just made that up this very second for
the pod. Yes,

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Imogen DeVille: Love that.

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JEFF WILLINGER: and super excited to be on the pod as
well.

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Imogen DeVille: Exclusive on this podcast right now,
with a chapter of productivity. Excellent.

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JEFF WILLINGER: Yeah, exactly.

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JEFF WILLINGER: Great name 365 pod love, love, love.

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Imogen DeVille: Thanks.

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JEFF WILLINGER: And I’m glad we color coordinated our I’m
glad we color coordinated our outfits as

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Imogen DeVille: Yeah, I really love that.

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Imogen DeVille: Yeah, definitely.

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JEFF WILLINGER: well.

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Imogen DeVille: And I feel like people can definitely
tell that you live somewhere hot because

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Imogen DeVille: you’re very talented.

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Imogen DeVille: And I’m very jealous. I’m glad.

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JEFF WILLINGER: Yeah.
I never really think of myself as tan.

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JEFF WILLINGER: I’m out there playing pickleball every
day and I do wear sunscreen.

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Imogen DeVille: Sounds so American.

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Imogen DeVille: I love that.
I love that and I feel like you actually

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Imogen DeVille: might be the first American.
We’ve had the podcast.

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Imogen DeVille: Everyone else has been European, so yeah.
Welcome to the pot.

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JEFF WILLINGER: Wow. And I don’t do European accents.

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JEFF WILLINGER: Some people attempt to.

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JEFF WILLINGER: I’m not even going to attempt to do an
accent at the end of the day,

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JEFF WILLINGER: just like life, I can only be me.

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Imogen DeVille: I love that love, that Joe.

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JEFF WILLINGER: And if I can’t be me,
I could be a hipster guy.

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JEFF WILLINGER: There you go.

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JEFF WILLINGER: I could also be hipster and wear
sunglasses on a yeah.

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Imogen DeVille: Sorry, California.

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Imogen DeVille: Yeah.
Do you wear them playing pickleball then

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Imogen DeVille: or?

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JEFF WILLINGER: I definitely wear glasses playing
pickleball because if you didn’t know the

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JEFF WILLINGER: number one injury and I also, you know,
again representing Chicago as well.

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JEFF WILLINGER: There are a lot of injuries in pickleball
because the ball comes off the paddle

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JEFF WILLINGER: real fast,
so I always recommend people wear

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JEFF WILLINGER: protective eyewear because you only have
two of these eyes and I’m very fond of

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Imogen DeVille: Oh yeah.

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JEFF WILLINGER: seeing things.

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Imogen DeVille: Yeah, definitely.

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JEFF WILLINGER: So keep those glasses in.

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Imogen DeVille: Gosh, that’s interns are the are the.

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JEFF WILLINGER: Keep those glasses on.

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Imogen DeVille: Yeah,
it’s the the like the balls are as

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Imogen DeVille: aggressive as like a hockey or anything
like that. I like ice hockey.

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JEFF WILLINGER: Oh gosh,
like hockey or paddell it comes off very

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Imogen DeVille: Oh my gosh.

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JEFF WILLINGER: fast.

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Imogen DeVille: Mental. Mental.

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Imogen DeVille: Well, I mean,
obviously you’re a big fan of pickleball

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JEFF WILLINGER: Yeah.

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Imogen DeVille: and little spots and we’ve obviously
talked about basketball in the past and

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Imogen DeVille: everything like that.

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Imogen DeVille: But do you want to tell everybody a
little bit about your background and how

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Imogen DeVille: you ended up working technology?

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JEFF WILLINGER: Sure.
So and I don’t even know if I told you

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JEFF WILLINGER: this story.

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JEFF WILLINGER: I was.

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JEFF WILLINGER: I always been an entrepreneur.

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JEFF WILLINGER: I had my own business a million years ago,
is called graphic packaging and I was a

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JEFF WILLINGER: small manufacturer.

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JEFF WILLINGER: I started out in my garage.

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JEFF WILLINGER: I manufactured 3 ring binders pocket
folders.

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Imogen DeVille: OK.

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JEFF WILLINGER: We did foilstamping die cutting.
Everything was very touchy feely tactile.

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JEFF WILLINGER: And I, but I’d always envision myself,
you know,

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JEFF WILLINGER: before people had vision boards and
manifested things I said,

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JEFF WILLINGER: I wanted to be on stage someday and have
people clap for me.

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JEFF WILLINGER: I don’t know why I thought that.

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JEFF WILLINGER: I thought two things.

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JEFF WILLINGER: One is I wanted that and then two,
I wanted to be somehow where palm trees

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JEFF WILLINGER: existed.

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Imogen DeVille: Yeah.

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JEFF WILLINGER: So just over the years.

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JEFF WILLINGER: As I was changing the face of my company
called Graphic Packaging into more of a

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JEFF WILLINGER: technology company,
I sort of saw the writing on the wall

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JEFF WILLINGER: where technology was right at the
beginning of SharePoint 2001.

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JEFF WILLINGER: So that shows you how how long I’ve been
here.

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Imogen DeVille: Yeah.

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JEFF WILLINGER: And I was working.

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JEFF WILLINGER: I sold my graphic packaging company.

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JEFF WILLINGER: I was working for a small digital agency
and they had one SharePoint project.

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JEFF WILLINGER: But I was sort of enamored with
SharePoint,

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JEFF WILLINGER: so like many other SharePoint folks,
I sort of went to as many webinars.

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JEFF WILLINGER: Back then.
There weren’t a lot of webinars on it.

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JEFF WILLINGER: There wasn’t a lot of information on
SharePoint at the very beginning,

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Imogen DeVille: Yeah.

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JEFF WILLINGER: and I’m sure Jeff Teeper was probably at
Microsoft then trying to figure out get

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JEFF WILLINGER: their arms around.
What do we do with SharePoint?

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JEFF WILLINGER: Jarrodz petaro the entire team.

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JEFF WILLINGER: What should we do with this and how do we
market it?

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Imogen DeVille: Yeah.

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JEFF WILLINGER: And I was fortunate.

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JEFF WILLINGER: Enough to take on this project of this
tiny little digital agency.

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JEFF WILLINGER: And then they just didn’t really want to
support it.

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JEFF WILLINGER: And then I I went to a startup company,
a startup technology consulting firm,

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JEFF WILLINGER: solutions integrator, and I don’t know,
I was the 6th employee there my first

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Imogen DeVille: Oh, OK.

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JEFF WILLINGER: year there. We did about a half $1,000,
000 in bus.

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JEFF WILLINGER: And when I left,
I know when I left ten years later,

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Imogen DeVille: Not doing bad.

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JEFF WILLINGER: we had 100 million.

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JEFF WILLINGER: We sold the company and we were off to
the races.

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JEFF WILLINGER: And since then I’ve worked for a couple
of different Isvs in the migration space,

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Imogen DeVille: Amazing.

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JEFF WILLINGER: in the advanced capture space,
in the migration space to sort of well

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Imogen DeVille: Yeah.

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JEFF WILLINGER: round myself and in the video space as
well.

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JEFF WILLINGER: And then you know my true passion really
is to helping people helping organization.

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JEFF WILLINGER: So I bopped back.

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JEFF WILLINGER: I transitioned back into consulting and
that’s what I’ve been doing the past.

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Imogen DeVille: Yeah. Fantastic.

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JEFF WILLINGER: Gosh, another 4-5 years back,
but I’ve always been the Microsoft

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JEFF WILLINGER: ecosystem.

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JEFF WILLINGER: I never left.

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Imogen DeVille: Yeah.

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JEFF WILLINGER: To me,
it’s the best technology ecosystem out

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JEFF WILLINGER: there and I would say besides pick a ball
and tennis,

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JEFF WILLINGER: all my friends are in the M365 area.

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Imogen DeVille: Yeah,
I feel like Microsoft are excellent at

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Imogen DeVille: creating that sense of community.

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Imogen DeVille: Obviously me,
I’ve only really ever been in this

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Imogen DeVille: Microsoft ecosystem, right?

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Imogen DeVille: So I only know and understand it from
that perspective,

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Imogen DeVille: but when I speak to other people who have
worked in other CERP systems, or like,

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Imogen DeVille: it’s definitely a different kind of
community.

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Imogen DeVille: And I think that’s really amplified by
the huge conferences that Microsoft ****

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Imogen DeVille: and other people attend.

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Imogen DeVille: And obviously the opportunity for people
like yourself to come from such a

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Imogen DeVille: different background.

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Imogen DeVille: And then make it up to where you are
speaking at conferences,

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Imogen DeVille: you’re helping webinars and obviously you
were an MVP, right?

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Imogen DeVille: Or yeah, yeah. Excellent.

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JEFF WILLINGER: Yes, I was. Yep.

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Imogen DeVille: And what was your main passion for you to
get that label?

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JEFF WILLINGER: My passion is employee communications and
building communities within organizations.

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JEFF WILLINGER: I think that communities are the secret
sauce to a successful organization.

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Imogen DeVille: Yeah.

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JEFF WILLINGER: Believe it or not.

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Imogen DeVille: Mm hmm.

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JEFF WILLINGER: Your employees and organization or your
blood,

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JEFF WILLINGER: they are the lifeline of the organization
of the company.

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Imogen DeVille: Yep.

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JEFF WILLINGER: And people were used to remember back in
the day, well before you were even.

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JEFF WILLINGER: You know,
you’re probably like in junior high or

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JEFF WILLINGER: elementary school.
When Facebook first came out.

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JEFF WILLINGER: And I I remember the big phrase was yeah,
intranet like Facebook and everyone was

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JEFF WILLINGER: like, whoa, whoa, we don’t want Facebook.

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JEFF WILLINGER: You know, we want it to be our Internet.

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JEFF WILLINGER: Well, the look and feel in life,
people are always looking for the best

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JEFF WILLINGER: user experience.

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JEFF WILLINGER: That’s the secret sauce that user
experience and we will build these

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JEFF WILLINGER: communities of purpose within
organizations,

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JEFF WILLINGER: whether it’s a large medical instrument
company and they’re collaborating on a a

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Imogen DeVille: Yep.

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JEFF WILLINGER: product or whether it’s Microsoft
collaborating on the newest part of the

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JEFF WILLINGER: Viva suite or whatever it is.

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JEFF WILLINGER: Collaboration and sharing.

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JEFF WILLINGER: We’ve always done it just the way we
share has evolved over the years and the

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Imogen DeVille: Very true.

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JEFF WILLINGER: way we build communities also has evolved
that sense of belonging.

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Imogen DeVille: Mm hmm.

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JEFF WILLINGER: Everyone wants to.

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JEFF WILLINGER: Not everyone,
but most people want to belong to

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JEFF WILLINGER: something.

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JEFF WILLINGER: They want to belong to community and M
36365 does an amazing job of that.

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JEFF WILLINGER: So that’s sort of.

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Imogen DeVille: Yeah, definitely.

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JEFF WILLINGER: You know,
that’s my passion is really that employee

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Imogen DeVille: Yeah.

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JEFF WILLINGER: journey, the employee experience,
the EX people talk about the consumer and

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Imogen DeVille: Uh H.

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JEFF WILLINGER: digital experience.
When you’re dealing with the brand.

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JEFF WILLINGER: But guess what?

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JEFF WILLINGER: If you lose sight of your employees
within your organization.

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JEFF WILLINGER: That’s when you know there’s no
connection.

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JEFF WILLINGER: People want to feel connected to an
organization.

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Imogen DeVille: Yeah.

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JEFF WILLINGER: That’s why everyone’s not a contractor
and they want to have a job because they

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JEFF WILLINGER: like that feeling.

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JEFF WILLINGER: Of community and like I said, communities.

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Imogen DeVille: Yeah, agreed.

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Imogen DeVille: Yeah, I really love that term.

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Imogen DeVille: EX. And like the community of purpose,
I think that’s a really important thing

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Imogen DeVille: for listeners to kind of take away from.
This is that as much as it’s amazing to

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Imogen DeVille: invest in all the marketing like that.
Fundamentally if you don’t have a strong

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Imogen DeVille: network behind the bus.

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Imogen DeVille: The business won’t function and obviously
that fails into retention and you know,

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Imogen DeVille: giving people that sense of purpose is
half the battle when it comes to that.

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Imogen DeVille: Because you if as an employee you become
a bit.

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Imogen DeVille: Detached or I guess?

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Imogen DeVille: Not like understanding of the customer or
the journey in the way that the company’s

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Imogen DeVille: going.

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Imogen DeVille: Sorry, then you’re going to move.

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Imogen DeVille: You’re going to jump ship, are you really?

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Imogen DeVille: So yeah,
I really like all the points that you’ve

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Imogen DeVille: discussed that.

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Imogen DeVille: Is there any specific organization that
you’ve worked in?

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Imogen DeVille: You don’t have to name drop the
organization,

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Imogen DeVille: but you you really felt like they did
that well and that you stay there for a

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Imogen DeVille: foreseeable time.

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Imogen DeVille: Or was it when you were running your own
businesses?

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JEFF WILLINGER: Honestly, to be honest with you,
the last organization I was with,

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Imogen DeVille: Yeah.

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JEFF WILLINGER: I really felt.

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Imogen DeVille: Mm hmm.

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JEFF WILLINGER: We want to be valued,
whether it’s in a personal relationship

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Imogen DeVille: Yeah.

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JEFF WILLINGER: or in a business relationship,
and I felt like I was really valued.

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JEFF WILLINGER: Felt like their Internet was terrific.

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JEFF WILLINGER: The people there, the culture.

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Imogen DeVille: Mm hmm.

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JEFF WILLINGER: Everything from? Yeah, of course.
The free lunches and happy hours to

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JEFF WILLINGER: amazing holiday parties,
a summer picnic bringing everybody

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JEFF WILLINGER: together because we’re all so isolated.

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JEFF WILLINGER: We all have blinders on. Most of the time.

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JEFF WILLINGER: Heads down, we have to be.

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Imogen DeVille: Yeah.

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JEFF WILLINGER: We have to keep our jobs.

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JEFF WILLINGER: So how do we keep our job?

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JEFF WILLINGER: We isolate each other.

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JEFF WILLINGER: I think it’s sort of backwards.
I think that instead of isolating each

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JEFF WILLINGER: other, we should come together.

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JEFF WILLINGER: But you know,
it’s a crazy state of work nowadays with

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Imogen DeVille: Mm hmm.

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JEFF WILLINGER: people getting laid off,
even people that are working at jobs,

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JEFF WILLINGER: their satisfaction is not what it used to
be. And how do we turn that around?

245
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JEFF WILLINGER: It’s it’s like she, you know,
it’s like steering the Titanic from

246
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JEFF WILLINGER: behind. You can’t.

247
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JEFF WILLINGER: You don’t know what’s in front of you,
so you have to get in front of it and the

248
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JEFF WILLINGER: companies that are sitting in front of it,
those are going to be the survivors.

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Imogen DeVille: Yeah.

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JEFF WILLINGER: Those are the ones that are going to be
are going to thrive in the future.

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JEFF WILLINGER: But I think what you’re going to see in
business and you’ve already been seeing

252
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JEFF WILLINGER: it is organizations coming together and
merging.

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JEFF WILLINGER: One company you know taking the lead.

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Imogen DeVille: Mm hmm.

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JEFF WILLINGER: It’s been happening, I think that.

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JEFF WILLINGER: That in the next couple of years,
we’re gonna see it even more.

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JEFF WILLINGER: Especially I was in professional services.

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Imogen DeVille: Yeah.

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JEFF WILLINGER: I think you’re gonna see these
professional services organizations

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JEFF WILLINGER: coming together and being absorbed by
larger organizations.

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Imogen DeVille: Hmm.

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Imogen DeVille: Yeah, yeah, definitely.

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Imogen DeVille: I think that’s the way that obviously we
are in an industry where, well,

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Imogen DeVille: every industry these days people aren’t
necessarily show what’s coming around the

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Imogen DeVille: corner and things.
So the best way to I guess retain that

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Imogen DeVille: staff because sometimes people jump the
gun as well before they’re aware.

267
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Imogen DeVille: Of it,
just because they’re unsure of what the

268
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Imogen DeVille: trajectory is.

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Imogen DeVille: So yeah,
definitely agree with everything that

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Imogen DeVille: you’ve said there is.

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Imogen DeVille: I know that your preference is always
well,

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Imogen DeVille: you’ve always stayed within the Microsoft
Tech stack, right?

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Imogen DeVille: And obviously M365IS.

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Imogen DeVille: Or bread and butter.
I imagine if we cut your arm off you’d

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Imogen DeVille: have M365 like tattooed leg.

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JEFF WILLINGER: Yeah, I mean, you know,
The thing is I look at M365,

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Imogen DeVille: S.

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JEFF WILLINGER: all the different components of it,
I’ll focus for a second on the Viva suite,

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JEFF WILLINGER: especially the communication suite,
which many of your listeners might have

280
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Imogen DeVille: Yeah.

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JEFF WILLINGER: heard of.

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JEFF WILLINGER: Everyone sort of knows connections.

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JEFF WILLINGER: That’s sort of what you we we would use
for the intranet,

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JEFF WILLINGER: but then within that you’ve got amplify
and then the product form,

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JEFF WILLINGER: I’ll call it the product formally known
as Yammer, which is now rebranded as.

286
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JEFF WILLINGER: Engage.

287
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JEFF WILLINGER: Which is really that’s to me,
engages the secret sauce to a successful

288
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JEFF WILLINGER: intranet or successful communications
plan within an organization. You know,

289
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Imogen DeVille: Yeah.

290
00:12:59,792 –> 00:12:59,952
Imogen DeVille: OK.

291
00:12:59,825 –> 00:13:03,180
JEFF WILLINGER: bringing people together across the
organization,

292
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JEFF WILLINGER: hopefully sponsored by leaders because we
need that sort of C level executives,

293
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JEFF WILLINGER: part of the program.

294
00:13:08,872 –> 00:13:09,272
Imogen DeVille: Great.

295
00:13:11,302 –> 00:13:15,805
JEFF WILLINGER: So that they could also, you know,
if I see that my boss is participating in

296
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JEFF WILLINGER: it, it’s going to make me want to as well.

297
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JEFF WILLINGER: And really bringing value bring value.
Are we doing this for bowling and sailing

298
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JEFF WILLINGER: community?

299
00:13:24,892 –> 00:13:27,784
JEFF WILLINGER: Maybe.
But we’re also doing it to really solve

300
00:13:27,784 –> 00:13:28,892
JEFF WILLINGER: business problems.

301
00:13:28,932 –> 00:13:30,172
JEFF WILLINGER: Answer the why.

302
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JEFF WILLINGER: Why are we doing this?

303
00:13:31,452 –> 00:13:32,892
JEFF WILLINGER: Are we doing it just to do it?

304
00:13:32,892 –> 00:13:36,264
JEFF WILLINGER: Are we doing to solve a business problem
and hopefully we’re solving business

305
00:13:35,352 –> 00:13:35,832
Imogen DeVille: Yeah.

306
00:13:36,264 –> 00:13:38,772
JEFF WILLINGER: problems or also we’re just spinning each
other’s wheels?

307
00:13:38,812 –> 00:13:41,531
JEFF WILLINGER: I mean, I don’t know what to say about it,
but yeah,

308
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JEFF WILLINGER: so you’ve got your amplify connections.

309
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JEFF WILLINGER: And engage and then.

310
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Imogen DeVille: Are they the ones that you would
recommend the most to or?

311
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JEFF WILLINGER: You know what I’ve been finding lately?
As everyone is kicking the tires on

312
00:13:56,845 –> 00:13:59,372
JEFF WILLINGER: copilot and AII think that.

313
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JEFF WILLINGER: The sort of what I would consider the
workplace,

314
00:14:04,334 –> 00:14:08,643
JEFF WILLINGER: analytics and feedback components that
would be Viva insights,

315
00:14:08,643 –> 00:14:10,422
JEFF WILLINGER: Viva glint and Viva pulse.

316
00:14:12,262 –> 00:14:16,582
JEFF WILLINGER: I would say probably the most important
out of those would probably be.

317
00:14:18,302 –> 00:14:19,902
JEFF WILLINGER: I don’t know a toss up between insights.

318
00:14:20,212 –> 00:14:24,962
JEFF WILLINGER: Which is really improving employee
productivity and well-being through these

319
00:14:24,962 –> 00:14:27,492
JEFF WILLINGER: data-driven insights and recommendations.

320
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Imogen DeVille: Cool. All right.

321
00:14:28,812 –> 00:14:32,492
JEFF WILLINGER: We’ve been using this to a certain extent
when we’re on LinkedIn.

322
00:14:32,852 –> 00:14:37,462
JEFF WILLINGER: Like Emma, if you’re connected to Jeff,
maybe you should also be connected to

323
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Imogen DeVille: Mm hmm.

324
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JEFF WILLINGER: fill in the blank. Somebody else.

325
00:14:39,412 –> 00:14:44,347
JEFF WILLINGER: We’ve been using this and I love when I’m
about to send an attachment on Outlook

326
00:14:39,712 –> 00:14:40,312
Imogen DeVille: Yeah.

327
00:14:44,347 –> 00:14:48,246
JEFF WILLINGER: and they’ll be like, hey,
do you want it will focus on the last

328
00:14:48,246 –> 00:14:48,612
JEFF WILLINGER: three.

329
00:14:50,062 –> 00:14:51,542
JEFF WILLINGER: Documents that I saved.

330
00:14:51,662 –> 00:14:52,622
JEFF WILLINGER: I love that.

331
00:14:52,702 –> 00:14:54,102
JEFF WILLINGER: What did I say earlier?

332
00:14:54,142 –> 00:14:55,982
JEFF WILLINGER: Make my life easier.

333
00:14:55,982 –> 00:14:57,342
JEFF WILLINGER: Make my job easier.

334
00:14:57,692 –> 00:14:58,892
JEFF WILLINGER: How do we do that?

335
00:14:59,252 –> 00:15:01,172
JEFF WILLINGER: These are Productivity Tools.

336
00:15:01,662 –> 00:15:01,862
Imogen DeVille: Mm hmm.

337
00:15:01,812 –> 00:15:05,223
JEFF WILLINGER: Glint,
it was a Microsoft acquisition a couple

338
00:15:05,223 –> 00:15:10,448
JEFF WILLINGER: of years ago, but now I see many,
many organizations are using glint as

339
00:15:10,448 –> 00:15:13,641
JEFF WILLINGER: sort of the voice of the employee
solution.

340
00:15:13,641 –> 00:15:18,866
JEFF WILLINGER: Helping these organizations understand
and improve employee engagement,

341
00:15:18,866 –> 00:15:24,382
JEFF WILLINGER: engagement to do what I’ve been saying,
drive business outcomes, we’re not.

342
00:15:20,252 –> 00:15:20,572
Imogen DeVille: All right.

343
00:15:24,382 –> 00:15:25,692
JEFF WILLINGER: Just doing it to do it.

344
00:15:24,452 –> 00:15:24,772
Imogen DeVille: OK.

345
00:15:25,732 –> 00:15:27,372
JEFF WILLINGER: We’re doing it to solve these business
problems.

346
00:15:27,772 –> 00:15:32,548
JEFF WILLINGER: And then Paul’s empowering those leaders
and managers to seek an act on feedback

347
00:15:32,548 –> 00:15:33,492
JEFF WILLINGER: when it matters.

348
00:15:34,902 –> 00:15:38,662
JEFF WILLINGER: I still don’t think that organizations
solicit feedback like they should.

349
00:15:39,722 –> 00:15:41,082
Imogen DeVille: Yeah, agreed.

350
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Imogen DeVille: And I guess one thing as well to kind of
further that point would be if you were a

351
00:15:46,342 –> 00:15:49,963
Imogen DeVille: listener to this,
how would you was you know somebody who

352
00:15:49,963 –> 00:15:52,522
Imogen DeVille: was trying to determine which tools best?

353
00:15:52,522 –> 00:15:55,524
Imogen DeVille: Because I find these days,
there’s so many options out there for

354
00:15:55,524 –> 00:15:56,402
Imogen DeVille: them to find tools.

355
00:15:56,402 –> 00:15:58,402
Imogen DeVille: It’s like selecting which one’s the best.

356
00:15:58,682 –> 00:16:04,294
Imogen DeVille: So is there any specific methodology that
you personally take when you are choosing

357
00:16:04,294 –> 00:16:04,762
Imogen DeVille: a tool?

358
00:16:05,432 –> 00:16:07,952
Imogen DeVille: That could help Alice in determine which
are best for their needs.

359
00:16:09,752 –> 00:16:12,182
JEFF WILLINGER: Yeah,
I really want to talk to the end users.

360
00:16:12,182 –> 00:16:16,356
JEFF WILLINGER: I want to talk to those employees and
find out what they’re doing and find out

361
00:16:16,356 –> 00:16:18,152
JEFF WILLINGER: what type of gaps they might have.

362
00:16:18,172 –> 00:16:18,692
Imogen DeVille: Yeah.

363
00:16:18,232 –> 00:16:20,512
JEFF WILLINGER: I do these sessions called voice of the
user.

364
00:16:20,512 –> 00:16:22,512
JEFF WILLINGER: Sessions, where I talk to them.

365
00:16:22,042 –> 00:16:22,242
Imogen DeVille: Mm hmm.

366
00:16:25,062 –> 00:16:28,044
JEFF WILLINGER: And I know that internal comms,
if you’re big enough,

367
00:16:28,044 –> 00:16:31,302
JEFF WILLINGER: there are tons of internal communications
firms out there.

368
00:16:33,102 –> 00:16:35,742
JEFF WILLINGER: The key with these employee
communications firms is.

369
00:16:37,462 –> 00:16:38,982
JEFF WILLINGER: Internal communications, I should say.

370
00:16:39,412 –> 00:16:43,271
JEFF WILLINGER: Is making sure you’re asking the right
questions a lot of times,

371
00:16:43,271 –> 00:16:46,536
JEFF WILLINGER: employees don’t want to tell the truth to
a colleague,

372
00:16:44,722 –> 00:16:45,282
Imogen DeVille: Yeah.

373
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JEFF WILLINGER: but they will tell it to a third party.

374
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JEFF WILLINGER: So it’s a great initial and project for
me at an organization.

375
00:16:55,652 –> 00:16:56,972
JEFF WILLINGER: Give them a road map.

376
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JEFF WILLINGER: Give them sort of what I would consider a
productivity road map and you need that

377
00:16:58,052 –> 00:16:58,172
Imogen DeVille: Uh H.

378
00:17:02,261 –> 00:17:04,132
JEFF WILLINGER: before you start any project.

379
00:17:05,182 –> 00:17:09,262
JEFF WILLINGER: Because many times it think we know what
the employees want.

380
00:17:09,692 –> 00:17:13,650
JEFF WILLINGER: Until we actually talk to the employees,
we don’t know what they want and that’s

381
00:17:13,182 –> 00:17:13,742
Imogen DeVille: Yeah.

382
00:17:13,650 –> 00:17:16,190
JEFF WILLINGER: what you know,
that’s what I’ve been really good at

383
00:17:16,190 –> 00:17:17,412
JEFF WILLINGER: developing that road map.

384
00:17:17,652 –> 00:17:18,412
JEFF WILLINGER: So we know.

385
00:17:18,412 –> 00:17:20,492
JEFF WILLINGER: We know where to fill in those gaps.

386
00:17:21,942 –> 00:17:22,822
JEFF WILLINGER: You know, we live in.

387
00:17:22,142 –> 00:17:22,702
Imogen DeVille: Yeah.

388
00:17:22,822 –> 00:17:23,982
JEFF WILLINGER: We live in a day and age.

389
00:17:23,982 –> 00:17:30,174
JEFF WILLINGER: I call it the shiny new thing syndrome,
where CIOSCTOS must be on golf courses

390
00:17:30,174 –> 00:17:35,582
JEFF WILLINGER: and some salesperson would be talking
about the latest and greatest.

391
00:17:35,582 –> 00:17:38,822
JEFF WILLINGER: And then they just buy it without doing a
little research first.

392
00:17:40,332 –> 00:17:45,992
JEFF WILLINGER: I can imagine the way AI is taking off
and copilot. Everyone sort of wants it,

393
00:17:45,992 –> 00:17:48,572
JEFF WILLINGER: but no one knows what to do with it.

394
00:17:48,612 –> 00:17:49,492
JEFF WILLINGER: So you get it.

395
00:17:48,902 –> 00:17:51,742
Imogen DeVille: Yeah. And even with star, yeah.

396
00:17:49,492 –> 00:17:51,732
JEFF WILLINGER: You’re making this right.

397
00:17:51,932 –> 00:17:55,532
JEFF WILLINGER: You’re you’re making this huge investment
and no one is doing anything about it.

398
00:17:55,572 –> 00:17:58,355
JEFF WILLINGER: Well,
my job is to let’s get the most out of

399
00:17:56,482 –> 00:17:57,442
Imogen DeVille: You’re not wrong.

400
00:17:58,355 –> 00:18:00,892
JEFF WILLINGER: your investment. Your cell phone. Use it.

401
00:18:00,892 –> 00:18:03,728
JEFF WILLINGER: Use it for phone calls. You use it for,
you know,

402
00:18:03,728 –> 00:18:07,132
JEFF WILLINGER: maybe check your bank balance and text
message or WhatsApp.

403
00:18:07,902 –> 00:18:10,062
JEFF WILLINGER: But you’re not using it the way you could
use it.

404
00:18:10,452 –> 00:18:14,852
JEFF WILLINGER: And I think that’s what’s going on with
AI and organizations nowadays.

405
00:18:15,352 –> 00:18:17,953
Imogen DeVille: Yeah.
And I think even just any system like an

406
00:18:17,953 –> 00:18:22,270
Imogen DeVille: ERP system or a CRM system that hasn’t
been correctly user adopted and that’s

407
00:18:22,270 –> 00:18:24,872
Imogen DeVille: why some people get this like fatigue
from it.

408
00:18:25,112 –> 00:18:27,738
Imogen DeVille: Because, like, Oh well,
we’ve invested all this money in this.

409
00:18:27,738 –> 00:18:30,989
Imogen DeVille: Then we’re not seeing the productivity,
but it’s because that road map hasn’t

410
00:18:30,989 –> 00:18:34,032
Imogen DeVille: been executed correctly at the end.
So they’re needing to understand it.

411
00:18:34,032 –> 00:18:36,470
Imogen DeVille: I mean,
just jumping on the AI point that you

412
00:18:36,470 –> 00:18:38,432
Imogen DeVille: said earlier, what are your thoughts?

413
00:18:38,432 –> 00:18:41,437
Imogen DeVille: Because I know you’ve spoken and you’ve
spoken a lot of companies with their

414
00:18:41,437 –> 00:18:43,272
Imogen DeVille: copilot adoption and giving advice and
things.

415
00:18:43,802 –> 00:18:49,002
Imogen DeVille: But what are your thoughts on the impact
of AI on the workplace at the minute?

416
00:18:49,232 –> 00:18:52,206
JEFF WILLINGER: Yeah,
I mean you you mentioned 1/2 a second ago.

417
00:18:52,206 –> 00:18:54,392
JEFF WILLINGER: You didn’t say AI think you said it.

418
00:18:54,992 –> 00:18:58,112
JEFF WILLINGER: I think we all have got like a little AI
fatigue.

419
00:18:55,232 –> 00:18:55,672
Imogen DeVille: Yeah.

420
00:18:58,642 –> 00:19:00,282
Imogen DeVille: Yeah, definitely.

421
00:18:58,752 –> 00:19:00,912
JEFF WILLINGER: There’s so much out there.

422
00:19:01,352 –> 00:19:02,632
JEFF WILLINGER: What do I use?

423
00:19:02,632 –> 00:19:03,352
JEFF WILLINGER: Do I use Gemini?

424
00:19:03,472 –> 00:19:09,072
JEFF WILLINGER: Do I use copilot, Cha, cha,
PT perplexity deep seek?

425
00:19:10,112 –> 00:19:13,592
JEFF WILLINGER: What do I use for what?
You know what are you using it for?

426
00:19:14,312 –> 00:19:17,592
JEFF WILLINGER: I think that most employees right now
there might be drafting an e-mail.

427
00:19:14,552 –> 00:19:14,952
Imogen DeVille: Yeah.

428
00:19:18,032 –> 00:19:19,032
JEFF WILLINGER: My favorite thing.

429
00:19:19,542 –> 00:19:22,410
JEFF WILLINGER: Is,
uh one of my favorite 2 two ways that I

430
00:19:22,410 –> 00:19:24,822
JEFF WILLINGER: use it most is after a teams meeting.

431
00:19:24,822 –> 00:19:26,302
JEFF WILLINGER: Get that recap.

432
00:19:26,342 –> 00:19:30,222
JEFF WILLINGER: I love that,
especially if I’m assigned a task.

433
00:19:28,202 –> 00:19:29,202
Imogen DeVille: I love that.

434
00:19:30,702 –> 00:19:32,582
JEFF WILLINGER: I want to make sure I knock that task out.

435
00:19:34,112 –> 00:19:36,272
JEFF WILLINGER: That’s number one. Number two is.

436
00:19:38,472 –> 00:19:43,192
JEFF WILLINGER: With the AI fatigue is or what I’m when
I’m using it for is when I’m creating I

437
00:19:43,192 –> 00:19:47,263
JEFF WILLINGER: give a lot of presentations all over the
country all over the world.

438
00:19:46,952 –> 00:19:47,152
Imogen DeVille: Mm hmm.

439
00:19:47,263 –> 00:19:50,272
JEFF WILLINGER: I should say and many times I’ll write an
outline.

440
00:19:50,942 –> 00:19:55,982
JEFF WILLINGER: And then I’ll put it into copilot and ask
copilot to create a PowerPoint for me.

441
00:19:56,262 –> 00:19:56,702
Imogen DeVille: Yeah.

442
00:19:56,462 –> 00:20:00,635
JEFF WILLINGER: And it’s a great Kickstarter at the end
of the day,

443
00:20:00,635 –> 00:20:04,888
JEFF WILLINGER: it’s not going to it’s it’s not going to
be perfect,

444
00:20:00,762 –> 00:20:01,322
Imogen DeVille: Yeah.

445
00:20:04,888 –> 00:20:09,222
JEFF WILLINGER: but it will help kick start whatever I’m
looking for.

446
00:20:09,552 –> 00:20:10,592
Imogen DeVille: Yeah, agreed.

447
00:20:10,672 –> 00:20:14,355
Imogen DeVille: I I think the the teams meeting notes and
the task is like my favorite.

448
00:20:14,355 –> 00:20:18,448
Imogen DeVille: Sometimes the transcript’s a bit roug
with various accents and we have quite an

449
00:20:18,448 –> 00:20:21,262
Imogen DeVille: international team,
so sometimes it struggles with the

450
00:20:21,262 –> 00:20:24,792
Imogen DeVille: accents on even though I understand them
it understands me which is.

451
00:20:24,792 –> 00:20:28,752
Imogen DeVille: Saying something with my accent but and
the tasks I just.

452
00:20:28,832 –> 00:20:30,712
Imogen DeVille: I love that and I could just drop that
down.

453
00:20:30,712 –> 00:20:33,232
Imogen DeVille: This is my task for the rest of the day.
That’s amazing.

454
00:20:33,232 –> 00:20:34,912
Imogen DeVille: And then the copilot in PowerPoint.

455
00:20:35,792 –> 00:20:37,676
Imogen DeVille: Obviously,
PowerPoint presentations used to take

456
00:20:37,676 –> 00:20:38,792
Imogen DeVille: hours and hours, didn’t they?

457
00:20:39,422 –> 00:20:42,493
Imogen DeVille: And you’d have to set like two or three
days to work out,

458
00:20:42,493 –> 00:20:46,147
Imogen DeVille: and then the visuals just whack your Word
document of your briefing.

459
00:20:46,147 –> 00:20:49,590
Imogen DeVille: It’s done in 30 seconds,
and then you play around with designer.

460
00:20:49,590 –> 00:20:50,702
Imogen DeVille: It makes it all sexy.

461
00:20:51,062 –> 00:20:51,742
Imogen DeVille: Win. Win.

462
00:20:51,322 –> 00:20:52,562
JEFF WILLINGER: Yeah, it is.

463
00:20:51,742 –> 00:20:55,033
Imogen DeVille: Honestly,
my life was changed when I discovered

464
00:20:52,562 –> 00:20:53,762
JEFF WILLINGER: It is a win win.

465
00:20:54,782 –> 00:20:56,342
JEFF WILLINGER: Yeah, yeah, yeah.

466
00:20:55,033 –> 00:20:56,062
Imogen DeVille: that I love it.

467
00:20:56,342 –> 00:21:01,193
JEFF WILLINGER: What I’ve been doing is or in the past.
I would just use an old PowerPoint with

468
00:21:01,193 –> 00:21:05,742
JEFF WILLINGER: the same branding and just update it and
it’s so much easier now using AI.

469
00:21:03,332 –> 00:21:03,852
Imogen DeVille: Yeah.

470
00:21:07,752 –> 00:21:12,277
JEFF WILLINGER: It’s a game changer for me,
but there’s so many different things that

471
00:21:12,277 –> 00:21:15,121
JEFF WILLINGER: organizations could do with AI and
copilot,

472
00:21:15,121 –> 00:21:20,229
JEFF WILLINGER: and I don’t know if we’re going to talk
about my sort of my methodology around

473
00:21:18,742 –> 00:21:20,982
Imogen DeVille: Yeah, the methodology, yeah, definitely.

474
00:21:20,229 –> 00:21:20,552
JEFF WILLINGER: that.

475
00:21:20,982 –> 00:21:23,839
Imogen DeVille: I think it’s worth mentioning that
because I think that that’s something a

476
00:21:23,839 –> 00:21:25,782
Imogen DeVille: lot of because you mentioned earlier
about people.

477
00:21:25,782 –> 00:21:26,462
Imogen DeVille: There’s so much AI.

478
00:21:26,462 –> 00:21:27,662
Imogen DeVille: You don’t know where to start with it.

479
00:21:27,662 –> 00:21:30,273
Imogen DeVille: What you’re doing,
so that methodology could be incredibly

480
00:21:30,273 –> 00:21:31,822
Imogen DeVille: useful if people want to take that.

481
00:21:31,822 –> 00:21:33,822
Imogen DeVille: But not even ask you more in more detail
about it.

482
00:21:34,252 –> 00:21:38,653
JEFF WILLINGER: I do, but before I even get into that,
I want to talk just for a quick second

483
00:21:38,653 –> 00:21:39,612
JEFF WILLINGER: about Viva goals.

484
00:21:39,892 –> 00:21:44,611
JEFF WILLINGER: I think Viva goals within organization is
underutilized and I think that

485
00:21:40,172 –> 00:21:40,852
Imogen DeVille: Yeah.

486
00:21:44,611 –> 00:21:47,132
JEFF WILLINGER: organizations are kicking the tires on.

487
00:21:47,132 –> 00:21:51,983
JEFF WILLINGER: I’m surprised that it’s its own SKU and
what I mean by that is when you’re

488
00:21:51,983 –> 00:21:55,346
JEFF WILLINGER: purchasing goals,
you basically have to pay another

489
00:21:55,346 –> 00:21:56,252
JEFF WILLINGER: licensing fee.

490
00:21:56,292 –> 00:21:59,492
JEFF WILLINGER: But really, what goals does is?

491
00:22:00,232 –> 00:22:02,072
JEFF WILLINGER: Aligns the teams within your organization.

492
00:22:02,942 –> 00:22:08,282
JEFF WILLINGER: To your organization’s strategic
priorities and driving results and really

493
00:22:08,282 –> 00:22:10,062
JEFF WILLINGER: make the business thrive.

494
00:22:10,062 –> 00:22:12,885
JEFF WILLINGER: You know,
with goals you can connect employees to

495
00:22:12,885 –> 00:22:17,458
JEFF WILLINGER: the organization’s goals and stay aligned
at scale and drive business results to

496
00:22:17,458 –> 00:22:20,902
JEFF WILLINGER: empower the people and the teams to
understand their impact.

497
00:22:21,782 –> 00:22:23,342
JEFF WILLINGER: And I think that companies.

498
00:22:22,302 –> 00:22:23,831
Imogen DeVille: OK,
tell me a little bit more about that

499
00:22:23,831 –> 00:22:25,844
Imogen DeVille: though, Jeff,
because I’ve not heard of Beaver girls.

500
00:22:25,844 –> 00:22:26,702
Imogen DeVille: I’ve not heard of that.

501
00:22:26,702 –> 00:22:29,302
Imogen DeVille: And there’s so many tools out there that
I use on the Microsoft Stack.

502
00:22:28,832 –> 00:22:30,592
JEFF WILLINGER: Oh, so many, yeah.

503
00:22:29,462 –> 00:22:31,262
Imogen DeVille: So where can people find it?

504
00:22:31,262 –> 00:22:32,662
Imogen DeVille: Or what’s the crack with that?

505
00:22:33,762 –> 00:22:35,562
JEFF WILLINGER: Yeah. I mean honestly at.

506
00:22:38,582 –> 00:22:45,303
JEFF WILLINGER: There’s so much out there nowadays.
There’s so much on the tech blog within

507
00:22:39,262 –> 00:22:39,542
Imogen DeVille: Is it?

508
00:22:43,922 –> 00:22:44,482
Imogen DeVille: Yeah.

509
00:22:45,303 –> 00:22:48,222
JEFF WILLINGER: Microsoft or learn.microsoft.com.

510
00:22:48,302 –> 00:22:54,837
JEFF WILLINGER: There’s so much information on it,
but basically the OK Rs in Viva goals,

511
00:22:54,837 –> 00:22:59,342
JEFF WILLINGER: that’s where that’s sort of the secret
sauce, but.

512
00:22:59,302 –> 00:22:59,982
Imogen DeVille: OK.

513
00:23:00,792 –> 00:23:03,832
JEFF WILLINGER: You know, creating an OK R Yep.

514
00:23:01,392 –> 00:23:03,112
Imogen DeVille: And that’s focused around objectives.

515
00:23:03,432 –> 00:23:04,832
Imogen DeVille: Key results, yeah.

516
00:23:05,592 –> 00:23:06,472
JEFF WILLINGER: Yeah, and setting up.

517
00:23:06,552 –> 00:23:06,872
Imogen DeVille: All right.

518
00:23:07,102 –> 00:23:09,982
JEFF WILLINGER: And setting up around that, um.

519
00:23:10,942 –> 00:23:16,937
JEFF WILLINGER: So yeah, in fact, before I forget,
I want to give a plug to my friends at AI

520
00:23:11,872 –> 00:23:12,032
Imogen DeVille: Cool.

521
00:23:16,937 –> 00:23:21,142
JEFF WILLINGER: Skills Fest.
I I don’t even know if it’s free or not.

522
00:23:21,142 –> 00:23:24,222
JEFF WILLINGER: It’s it’s going on for a long time, but.

523
00:23:25,832 –> 00:23:28,472
JEFF WILLINGER: 50 days of AI Discovery and learning.

524
00:23:28,992 –> 00:23:36,632
JEFF WILLINGER: I think AI skills, fast AI skills, fast.
event.microsoft.com.

525
00:23:34,812 –> 00:23:34,932
Imogen DeVille: Hmm.

526
00:23:37,912 –> 00:23:38,552
Imogen DeVille: OK.

527
00:23:38,182 –> 00:23:39,702
JEFF WILLINGER: And I could give this to you.

528
00:23:39,702 –> 00:23:41,742
JEFF WILLINGER: So in the in the notes.

529
00:23:43,432 –> 00:23:46,763
JEFF WILLINGER: Yeah, it’s not for a few days,
but it’s it’s pretty.

530
00:23:46,763 –> 00:23:48,272
JEFF WILLINGER: It’s pretty interesting.

531
00:23:48,272 –> 00:23:49,752
JEFF WILLINGER: There’s a lot of good content.

532
00:23:48,972 –> 00:23:51,086
Imogen DeVille: Yeah.
Will that be an online event then that

533
00:23:51,086 –> 00:23:51,932
Imogen DeVille: people can attend?

534
00:23:51,822 –> 00:23:53,942
JEFF WILLINGER: Yeah. Online event. Yep. Yep.

535
00:23:53,822 –> 00:23:55,382
Imogen DeVille: OK, cool. Fantastic.

536
00:23:55,702 –> 00:23:57,262
Imogen DeVille: Yeah, we’ll put the details in.

537
00:23:56,192 –> 00:24:00,072
JEFF WILLINGER: Yeah, but yeah, so it is in April? Yep.

538
00:23:57,262 –> 00:23:58,542
Imogen DeVille: I think it’s in April actually.

539
00:24:00,032 –> 00:24:00,672
Imogen DeVille: April and May, yeah.

540
00:24:01,102 –> 00:24:01,422
JEFF WILLINGER: Yeah.

541
00:24:02,312 –> 00:24:04,152
Imogen DeVille: Fantastic. OK.

542
00:24:03,542 –> 00:24:09,142
JEFF WILLINGER: So when I think about developing sort of
what I would consider a responsible AI

543
00:24:09,142 –> 00:24:12,642
JEFF WILLINGER: strategy,
it really the first thing that you have

544
00:24:12,642 –> 00:24:13,062
JEFF WILLINGER: to do.

545
00:24:13,462 –> 00:24:15,518
JEFF WILLINGER: We’re not just going to do what just to
do.

546
00:24:15,518 –> 00:24:17,902
JEFF WILLINGER: We’re going to really have a vision first
of what?

547
00:24:17,902 –> 00:24:18,782
JEFF WILLINGER: What are we doing?

548
00:24:20,272 –> 00:24:26,258
JEFF WILLINGER: Get that clear AI vision and then align
it with the business goals and align it

549
00:24:26,258 –> 00:24:32,094
JEFF WILLINGER: with stakeholder engagement and identify.
When I think about copilot and AII,

550
00:24:32,094 –> 00:24:32,992
JEFF WILLINGER: think about.

551
00:24:33,982 –> 00:24:38,302
JEFF WILLINGER: Business use cases use cases,
use cases use cases.

552
00:24:36,342 –> 00:24:36,622
Imogen DeVille: Yeah.

553
00:24:39,302 –> 00:24:42,862
JEFF WILLINGER: Is there one in people ask me if there’s
one industry?

554
00:24:44,432 –> 00:24:49,021
JEFF WILLINGER: Within the world,
and where copilot would really shine,

555
00:24:49,021 –> 00:24:53,610
JEFF WILLINGER: it’s hard to pick one.
I I would say it’s a tie between

556
00:24:53,610 –> 00:24:57,543
JEFF WILLINGER: manufacturing and pharma slash Health
Sciences,

557
00:24:57,543 –> 00:25:02,869
JEFF WILLINGER: where AI could really make a difference.
Whether it’s, you know,

558
00:25:02,869 –> 00:25:08,032
JEFF WILLINGER: finding a machine that might be due for
maintenance, that you.

559
00:25:08,032 –> 00:25:08,672
JEFF WILLINGER: Might not know about.

560
00:25:09,022 –> 00:25:14,009
JEFF WILLINGER: But copilot will be like, hey,
it’s been six years since blah blah, blah.

561
00:25:14,009 –> 00:25:17,379
JEFF WILLINGER: Throw in the blank.
So I think that that’s a real

562
00:25:15,342 –> 00:25:15,542
Imogen DeVille: Mm hmm.

563
00:25:17,379 –> 00:25:20,142
JEFF WILLINGER: organizations are looking for quick wins.

564
00:25:20,182 –> 00:25:24,528
JEFF WILLINGER: That’s a great quick win,
not necessarily helping you write an

565
00:25:24,528 –> 00:25:27,771
JEFF WILLINGER: e-mail,
but you know really establishing that,

566
00:25:27,771 –> 00:25:30,462
JEFF WILLINGER: that, that vision of what are we doing.

567
00:25:31,292 –> 00:25:31,772
Imogen DeVille: Yeah.

568
00:25:32,392 –> 00:25:33,352
JEFF WILLINGER: Step 2.

569
00:25:33,712 –> 00:25:38,370
JEFF WILLINGER: Conduct that comprehensive what I would
consider an AI readiness assessment

570
00:25:38,370 –> 00:25:42,232
JEFF WILLINGER: you’re saying to yourself,
how is my company not ready for AI?

571
00:25:42,752 –> 00:25:46,633
JEFF WILLINGER: Many companies aren’t.
If you’re 100% on Prem and you’re not in

572
00:25:46,633 –> 00:25:48,392
JEFF WILLINGER: the cloud at all, guess what?

573
00:25:49,282 –> 00:25:51,482
Imogen DeVille: You know definitely not Reg.

574
00:25:49,912 –> 00:25:52,832
JEFF WILLINGER: Artificial intelligence.
That’s what it stands for.

575
00:25:53,272 –> 00:25:54,552
JEFF WILLINGER: Yes, internal.

576
00:25:53,492 –> 00:25:54,012
Imogen DeVille: Yeah.

577
00:25:54,552 –> 00:25:57,192
JEFF WILLINGER: Many organizations are building their own
based upon.

578
00:25:58,832 –> 00:26:01,312
JEFF WILLINGER: Language models,
but it’s not the only thing.

579
00:26:01,622 –> 00:26:03,422
JEFF WILLINGER: We need that outside information.

580
00:26:03,422 –> 00:26:03,902
JEFF WILLINGER: It’s gotta.

581
00:26:03,902 –> 00:26:08,747
JEFF WILLINGER: It has to be able to access it,
so really figure out what your current

582
00:26:08,747 –> 00:26:13,729
JEFF WILLINGER: state analysis is and then identify those
gaps and what I would consider

583
00:26:13,572 –> 00:26:13,772
Imogen DeVille: Mm hmm.

584
00:26:13,729 –> 00:26:18,848
JEFF WILLINGER: opportunities sort of like that SWOT
analysis really figure out what those

585
00:26:17,522 –> 00:26:18,082
Imogen DeVille: Yeah.

586
00:26:18,848 –> 00:26:19,462
JEFF WILLINGER: gaps are.

587
00:26:20,902 –> 00:26:23,581
Imogen DeVille: OK.
And I suppose one thing as well to jump

588
00:26:23,581 –> 00:26:27,662
Imogen DeVille: on that is organisations especially say
if you’re running copilot.

589
00:26:27,822 –> 00:26:30,850
Imogen DeVille: Double check your permissions.
The access for permissions and things

590
00:26:30,850 –> 00:26:33,088
Imogen DeVille: like that,
because that’s a bit a few companies in

591
00:26:33,088 –> 00:26:36,686
Imogen DeVille: the past and you just need to really be
100% sure before you go for the full roll

592
00:26:36,686 –> 00:26:36,862
Imogen DeVille: out.

593
00:26:38,052 –> 00:26:42,024
JEFF WILLINGER: Oh yeah, if you’re if you’re,
if you’re my CEO and I’m able to look up

594
00:26:38,392 –> 00:26:39,832
Imogen DeVille: Just just in case.

595
00:26:42,024 –> 00:26:45,325
JEFF WILLINGER: your salary on my thing,
that’s probably not a good thing,

596
00:26:42,422 –> 00:26:43,182
Imogen DeVille: Celery.

597
00:26:45,325 –> 00:26:46,052
JEFF WILLINGER: I’m guessing.

598
00:26:47,842 –> 00:26:48,402
Imogen DeVille: Definitely no.

599
00:26:48,402 –> 00:26:49,602
Imogen DeVille: Well, who knows?

600
00:26:49,602 –> 00:26:52,962
Imogen DeVille: The CEO could be civilian paid,
but highly doubt that in most cases.

601
00:26:52,172 –> 00:26:52,812
JEFF WILLINGER: True, true.

602
00:26:54,352 –> 00:26:55,152
JEFF WILLINGER: Step 3.

603
00:26:55,342 –> 00:26:55,862
Imogen DeVille: But yeah.

604
00:26:56,872 –> 00:27:01,195
JEFF WILLINGER: Develop that AI implementation road map I
love Rd. maps without a road map.

605
00:27:01,195 –> 00:27:05,859
JEFF WILLINGER: You know, if you’re going to the market,
there are probably a number of different

606
00:27:05,859 –> 00:27:09,613
JEFF WILLINGER: ways you could get there.
Many times you might use a maps program

607
00:27:07,052 –> 00:27:07,492
Imogen DeVille: Yeah.

608
00:27:09,613 –> 00:27:11,832
JEFF WILLINGER: to help you get there. It’s no differe.

609
00:27:11,832 –> 00:27:16,284
JEFF WILLINGER: Within an organization,
don’t build it and expect they’re going

610
00:27:12,202 –> 00:27:12,402
Imogen DeVille: Mm hmm.

611
00:27:16,284 –> 00:27:19,762
JEFF WILLINGER: to come.
Really prioritize use cases and resource

612
00:27:19,762 –> 00:27:21,432
JEFF WILLINGER: allocation and planning.

613
00:27:21,902 –> 00:27:26,604
JEFF WILLINGER: Have those committees within your
organization and my last organization

614
00:27:26,604 –> 00:27:30,262
JEFF WILLINGER: that I was at,
I helped roll out copilot to 2500 users.

615
00:27:31,752 –> 00:27:34,761
JEFF WILLINGER: Get those super users,
those change agents within your

616
00:27:34,761 –> 00:27:35,472
JEFF WILLINGER: organization.

617
00:27:35,632 –> 00:27:40,592
JEFF WILLINGER: Get them waiving the AI flag and people
will follow that.

618
00:27:40,992 –> 00:27:43,392
JEFF WILLINGER: So it’s it’s no different then.

619
00:27:43,392 –> 00:27:44,832
JEFF WILLINGER: It’s no different now.

620
00:27:44,832 –> 00:27:45,792
JEFF WILLINGER: You’ve got that.

621
00:27:45,382 –> 00:27:45,782
Imogen DeVille: Yeah.

622
00:27:45,792 –> 00:27:49,272
JEFF WILLINGER: That’s where you have to do.
Get that road map 1st.

623
00:27:52,142 –> 00:27:52,822
Imogen DeVille: Yeah. Fantastic.

624
00:27:52,222 –> 00:27:53,342
JEFF WILLINGER: Step #4.

625
00:27:53,822 –> 00:27:56,742
JEFF WILLINGER: Build that AI capabilities and
infrastructure.

626
00:27:56,782 –> 00:28:00,398
JEFF WILLINGER: Most organizations might not have that
readily available,

627
00:28:00,398 –> 00:28:05,262
JEFF WILLINGER: so make sure do that tech audit inside
your company and really make sure that

628
00:28:05,262 –> 00:28:07,382
JEFF WILLINGER: your infrastructure can handle it.

629
00:28:07,422 –> 00:28:12,902
JEFF WILLINGER: And then if not get those capabilities
skilled up and development around it.

630
00:28:14,462 –> 00:28:15,862
Imogen DeVille: Yeah, definitely.

631
00:28:16,452 –> 00:28:20,200
JEFF WILLINGER: And then like I mentioned,
just a few minutes ago,

632
00:28:20,200 –> 00:28:25,932
JEFF WILLINGER: get that pilot and scale these different
types of copilot slash AI solutions.

633
00:28:27,072 –> 00:28:28,472
JEFF WILLINGER: Get those pilots going.

634
00:28:28,472 –> 00:28:32,985
JEFF WILLINGER: Get pilot or proof of concept.
I mean I interchange the term,

635
00:28:32,985 –> 00:28:37,352
JEFF WILLINGER: but let’s figure out and get those quick
wins and scale up.

636
00:28:38,872 –> 00:28:42,175
JEFF WILLINGER: I look at all these projects like running
a marathon.

637
00:28:42,175 –> 00:28:46,396
JEFF WILLINGER: You just don’t go out and run 26.2 miles.
You run one mile, 2 miles,

638
00:28:46,396 –> 00:28:50,312
JEFF WILLINGER: 3 miles and slug your way through 26.2.
It’s no different here.

639
00:28:50,382 –> 00:28:51,182
JEFF WILLINGER: In here.

640
00:28:51,282 –> 00:28:53,865
Imogen DeVille: Yeah,
we’ve been working with that with a with

641
00:28:53,865 –> 00:28:57,548
Imogen DeVille: a couple of our customers on their
copilot rollouts as well. Jeff,

642
00:28:57,548 –> 00:29:01,835
Imogen DeVille: where they’ve been saying, well, we’ve,
we’ve actually picked like the senior

643
00:29:01,835 –> 00:29:06,177
Imogen DeVille: management who were the most open minded
to AI innovation and then to be fair,

644
00:29:06,177 –> 00:29:06,562
Imogen DeVille: we had.

645
00:29:06,562 –> 00:29:08,974
Imogen DeVille: A few you know,
people that weren’t 100% on board,

646
00:29:08,974 –> 00:29:12,002
Imogen DeVille: but after the training, they were like,
Oh my gosh, we love it.

647
00:29:12,002 –> 00:29:15,691
Imogen DeVille: So what advice would you give to the
listeners about who to select in those

648
00:29:15,691 –> 00:29:16,322
Imogen DeVille: pilot groups?

649
00:29:17,032 –> 00:29:18,192
Imogen DeVille: You know what should they pick?

650
00:29:18,192 –> 00:29:21,040
Imogen DeVille: Senior management,
should they just pick any anybody within

651
00:29:21,040 –> 00:29:21,752
Imogen DeVille: different like?

652
00:29:22,302 –> 00:29:23,782
Imogen DeVille: Business units or?

653
00:29:23,622 –> 00:29:24,502
JEFF WILLINGER: Great question.

654
00:29:24,502 –> 00:29:28,274
JEFF WILLINGER: Great question.
I want to take a couple folks from legal,

655
00:29:28,274 –> 00:29:32,502
JEFF WILLINGER: a couple people from accounting,
a couple people from marketing.

656
00:29:32,942 –> 00:29:37,702
JEFF WILLINGER: You know the IT folks marketing corporate
communications.

657
00:29:40,182 –> 00:29:44,222
JEFF WILLINGER: Security. Let’s get a wide variety.

658
00:29:44,902 –> 00:29:49,051
JEFF WILLINGER: I don’t need the leaders in the in the in
the pilot,

659
00:29:49,051 –> 00:29:52,182
JEFF WILLINGER: I need the leaders to support the pilot.

660
00:29:53,062 –> 00:29:55,102
JEFF WILLINGER: I want the leaders to get scaled up.

661
00:29:56,592 –> 00:29:57,392
JEFF WILLINGER: But it’s not necessary.

662
00:29:57,392 –> 00:29:59,832
JEFF WILLINGER: But I definitely need the leader sort of
support.

663
00:30:01,882 –> 00:30:03,002
Imogen DeVille: Yeah, agreed.

664
00:30:03,162 –> 00:30:06,731
Imogen DeVille: And when you when you are supporting
these businesses,

665
00:30:06,731 –> 00:30:11,922
Imogen DeVille: is there any advice that you would give
to say people who are keen within their

666
00:30:11,922 –> 00:30:15,102
Imogen DeVille: organization to get copilot rolled out?
However,

667
00:30:15,102 –> 00:30:20,488
Imogen DeVille: there isn’t that vested interest or the
understanding in the ROI from those above,

668
00:30:20,488 –> 00:30:21,202
Imogen DeVille: how do you?

669
00:30:21,202 –> 00:30:23,217
Imogen DeVille: Think that you can kind of change their
minds,

670
00:30:23,217 –> 00:30:25,832
Imogen DeVille: or do you think it’s a bit of a losing
battle at the minute?

671
00:30:26,432 –> 00:30:27,472
JEFF WILLINGER: No, no. You know what?

672
00:30:27,472 –> 00:30:31,319
JEFF WILLINGER: There’s still a lot of companies that
they’re worried about security,

673
00:30:31,319 –> 00:30:35,552
JEFF WILLINGER: to your point earlier about permissions.
They’re worried about other things.

674
00:30:31,652 –> 00:30:32,132
Imogen DeVille: Yeah.

675
00:30:37,152 –> 00:30:38,272
JEFF WILLINGER: And let’s get them.

676
00:30:38,312 –> 00:30:41,872
JEFF WILLINGER: Let’s let’s make them feel very
comfortable in what they’re doing.

677
00:30:41,872 –> 00:30:43,952
JEFF WILLINGER: Let’s not force it down them.

678
00:30:43,952 –> 00:30:47,924
JEFF WILLINGER: Let’s let them see the light,
because at the end of the day,

679
00:30:47,924 –> 00:30:52,352
JEFF WILLINGER: we need to sort of embed this into the
culture of the organization.

680
00:30:52,672 –> 00:30:54,352
JEFF WILLINGER: We haven’t talked about culture a lot.

681
00:30:55,072 –> 00:30:59,603
JEFF WILLINGER: But I look at the a project like this,
it’s not, you know, everyone’s like, oh,

682
00:30:55,892 –> 00:30:56,092
Imogen DeVille: Mm hmm.

683
00:30:59,603 –> 00:31:02,152
JEFF WILLINGER: Jeff,
you’re the technologist in our family.

684
00:31:02,432 –> 00:31:05,752
JEFF WILLINGER: It’s really 80% technology 20.

685
00:31:05,832 –> 00:31:09,592
JEFF WILLINGER: I’m sorry, 80% culture, 20% technology.

686
00:31:09,592 –> 00:31:13,592
JEFF WILLINGER: Let’s get that out of the pod.
It’s all about culture.

687
00:31:13,662 –> 00:31:16,182
JEFF WILLINGER: 80% culture, 20% technology.

688
00:31:16,182 –> 00:31:18,062
JEFF WILLINGER: It’s really not the other way around.

689
00:31:16,482 –> 00:31:16,842
Imogen DeVille: Yeah.

690
00:31:19,832 –> 00:31:22,592
JEFF WILLINGER: Get those people change management.

691
00:31:22,992 –> 00:31:24,872
JEFF WILLINGER: We haven’t talked about change management.

692
00:31:25,352 –> 00:31:30,962
JEFF WILLINGER: Let’s get people changing the way they do
business internally and then have ongoing

693
00:31:30,962 –> 00:31:32,432
JEFF WILLINGER: learning and adoption.

694
00:31:33,072 –> 00:31:35,272
JEFF WILLINGER: We just can’t think that everyone is
going.

695
00:31:35,272 –> 00:31:37,335
JEFF WILLINGER: In fact,
when I look at employees and

696
00:31:37,335 –> 00:31:40,103
JEFF WILLINGER: organizations,
you’ve got that the early adopters,

697
00:31:40,103 –> 00:31:41,352
JEFF WILLINGER: I put them into thirds.

698
00:31:41,352 –> 00:31:42,792
JEFF WILLINGER: You have those early adopters.

699
00:31:43,222 –> 00:31:47,305
JEFF WILLINGER: People that listen to your podcast,
those are the people that they’re they’re

700
00:31:47,305 –> 00:31:47,462
JEFF WILLINGER: in.

701
00:31:47,462 –> 00:31:51,022
JEFF WILLINGER: Show me something new. I’m in.
Then you’ve got that third.

702
00:31:51,062 –> 00:31:51,542
JEFF WILLINGER: They are.

703
00:31:51,542 –> 00:31:53,382
JEFF WILLINGER: Sadly, they’re never ever gonna go.

704
00:31:53,922 –> 00:31:55,522
Imogen DeVille: Yeah, just come.

705
00:31:54,872 –> 00:31:57,112
JEFF WILLINGER: Then you’ve got that third that the
fencers.

706
00:31:57,112 –> 00:32:00,996
JEFF WILLINGER: What’s in it for me at the end of the day,
we have to answer the question,

707
00:32:00,996 –> 00:32:04,414
JEFF WILLINGER: what’s in it for me as the end user.
If we can’t figure that out,

708
00:32:04,414 –> 00:32:06,952
JEFF WILLINGER: it’s probably gonna be a failed product
project.

709
00:32:09,632 –> 00:32:09,952
JEFF WILLINGER: So.

710
00:32:09,722 –> 00:32:12,162
Imogen DeVille: Yeah, yeah,
there are some stuff next to crack.

711
00:32:10,192 –> 00:32:12,192
JEFF WILLINGER: Think about that as you’re embedding it.

712
00:32:13,982 –> 00:32:17,023
JEFF WILLINGER: You know, if you’re losing weight,
if you’re an exercise,

713
00:32:17,023 –> 00:32:20,955
JEFF WILLINGER: kick whatever it is, crawwalk run.
You’re not gonna cut out bread or pasta

714
00:32:20,955 –> 00:32:21,742
JEFF WILLINGER: from your diet.

715
00:32:21,742 –> 00:32:22,942
JEFF WILLINGER: Lose 10 lbs overnight.

716
00:32:22,942 –> 00:32:24,302
JEFF WILLINGER: It’s gonna take some time.

717
00:32:24,302 –> 00:32:29,062
JEFF WILLINGER: It’s no different when you’re rolling out
copilot or AI in your organization.

718
00:32:29,712 –> 00:32:30,232
Imogen DeVille: Yeah.

719
00:32:31,312 –> 00:32:32,592
JEFF WILLINGER: Really go slow.

720
00:32:34,352 –> 00:32:37,292
JEFF WILLINGER: You know,
when I’m teaching pickleball to people

721
00:32:37,292 –> 00:32:42,032
JEFF WILLINGER: and I’m changing their backhand from A1
handed backhand to A2 handed back hand

722
00:32:42,032 –> 00:32:42,272
JEFF WILLINGER: and.

723
00:32:42,622 –> 00:32:43,742
JEFF WILLINGER: It’s not always easy.

724
00:32:43,742 –> 00:32:44,822
JEFF WILLINGER: In fact, I’m looking for.

725
00:32:44,822 –> 00:32:46,822
JEFF WILLINGER: I know I’ve got a paddle around here
somewhere.

726
00:32:46,822 –> 00:32:48,262
JEFF WILLINGER: Let’s see if I can grab this.

727
00:32:48,522 –> 00:32:49,642
Imogen DeVille: Prepared. Love it.

728
00:32:50,072 –> 00:32:53,592
JEFF WILLINGER: Yeah.
So when you’re changing your backhand

729
00:32:53,592 –> 00:33:00,152
JEFF WILLINGER: from A1 handed and look at my buddy Dan
Ray gave me this really snazzy MVP paddle

730
00:32:56,792 –> 00:32:57,832
Imogen DeVille: That’s hilarious.

731
00:32:57,832 –> 00:32:58,672
Imogen DeVille: I love that.

732
00:33:00,152 –> 00:33:06,392
JEFF WILLINGER: and that two handed backhand it’s it’s an
art form and you have to just tread

733
00:33:06,392 –> 00:33:09,272
JEFF WILLINGER: lightly on it and try it and do Rep.

734
00:33:10,032 –> 00:33:11,752
JEFF WILLINGER: Muscle memory. Muscle memory.

735
00:33:10,502 –> 00:33:11,102
Imogen DeVille: Yeah.

736
00:33:12,142 –> 00:33:15,182
JEFF WILLINGER: And it’s no different embedding AI into
your culture.

737
00:33:15,562 –> 00:33:17,522
Imogen DeVille: Mm hmm. Yeah, definitely.

738
00:33:17,562 –> 00:33:22,348
Imogen DeVille: And I think that’s that’s could be said
to any, I guess ERP CRM implementation,

739
00:33:22,348 –> 00:33:26,536
Imogen DeVille: we try and do full company,
but with AI it’s business transformation.

740
00:33:26,536 –> 00:33:31,442
Imogen DeVille: It’s not just it and it’s not just those
people you have to get involved as well.

741
00:33:31,882 –> 00:33:35,882
Imogen DeVille: I think we were on .
6 of your eight point strategy.

742
00:33:34,442 –> 00:33:37,202
JEFF WILLINGER: Actually,
so six was embedding it into the culture.

743
00:33:37,242 –> 00:33:43,082
JEFF WILLINGER: Seven would be, 7 would be monitor,
evaluate and refine initiatives.

744
00:33:37,582 –> 00:33:38,582
Imogen DeVille: Yep. Perfect.

745
00:33:43,162 –> 00:33:45,162
JEFF WILLINGER: I’m all about iterating.

746
00:33:43,572 –> 00:33:43,932
Imogen DeVille: OK.

747
00:33:45,402 –> 00:33:48,242
JEFF WILLINGER: This is not line in the sand time.

748
00:33:48,242 –> 00:33:50,802
JEFF WILLINGER: This is iterate the initiative.

749
00:33:52,272 –> 00:33:53,712
JEFF WILLINGER: Let’s track things right.

750
00:33:54,152 –> 00:33:59,032
JEFF WILLINGER: That’s why Viva Pulse is a great way to
track these initiatives.

751
00:33:59,152 –> 00:34:00,352
JEFF WILLINGER: Let’s figure out what they are.

752
00:34:00,352 –> 00:34:03,072
JEFF WILLINGER: And then really refine them to get those
big wins.

753
00:34:03,462 –> 00:34:07,062
JEFF WILLINGER: And then you don’t have that sort of
iterative iterative.

754
00:34:09,152 –> 00:34:11,272
JEFF WILLINGER: Improvement as you’re going along in your
journey.

755
00:34:11,272 –> 00:34:13,152
JEFF WILLINGER: Look, we’re all on our journeys.

756
00:34:12,332 –> 00:34:12,852
Imogen DeVille: Yeah.

757
00:34:13,272 –> 00:34:14,832
JEFF WILLINGER: This is just another journey.

758
00:34:14,832 –> 00:34:17,072
JEFF WILLINGER: It’s the copilot AI journey.

759
00:34:18,832 –> 00:34:21,662
JEFF WILLINGER: That we’re all you know, it’s not if,
but when.

760
00:34:21,662 –> 00:34:25,083
JEFF WILLINGER: Like when Microsoft announced a number of
years ago. Hey,

761
00:34:25,083 –> 00:34:29,564
JEFF WILLINGER: where we came up with this thing called
Azure or Azure depending upon where

762
00:34:29,564 –> 00:34:30,272
JEFF WILLINGER: you’re from.

763
00:34:31,992 –> 00:34:32,952
JEFF WILLINGER: And you’re gonna have to move.

764
00:34:33,182 –> 00:34:37,493
JEFF WILLINGER: All your documents from on Prem to the
cloud and everyone’s like, whoa,

765
00:34:37,493 –> 00:34:40,607
JEFF WILLINGER: we’re not gonna move to the cloud.
And sure enough,

766
00:34:40,607 –> 00:34:42,942
JEFF WILLINGER: everyone’s going kicking and screaming.

767
00:34:40,832 –> 00:34:41,032
Imogen DeVille: Mm hmm.

768
00:34:43,342 –> 00:34:43,902
Imogen DeVille: Yep.

769
00:34:44,472 –> 00:34:45,312
JEFF WILLINGER: AI is no different.

770
00:34:45,632 –> 00:34:50,270
JEFF WILLINGER: I think people could see a lot more value
from AI than they can moving their data

771
00:34:50,270 –> 00:34:52,872
JEFF WILLINGER: to the cloud, but trust me,
there’s a lot of.

772
00:34:55,232 –> 00:34:57,990
JEFF WILLINGER: You know,
from the cost standpoint to everything

773
00:34:57,990 –> 00:35:02,381
JEFF WILLINGER: really moving to the cloud, but with AI,
we’re solving more business problems

774
00:35:02,381 –> 00:35:02,832
JEFF WILLINGER: quicker.

775
00:35:03,542 –> 00:35:07,353
JEFF WILLINGER: We’re cutting down.
If you’re an accounting firm analyzing

776
00:35:07,353 –> 00:35:11,422
JEFF WILLINGER: those Excel spreadsheets.
We haven’t talked about that at all.

777
00:35:11,422 –> 00:35:14,914
JEFF WILLINGER: But man,
those the benefits of that are

778
00:35:14,914 –> 00:35:18,582
JEFF WILLINGER: insurmountable. You. They’re just so many.

779
00:35:17,052 –> 00:35:17,492
Imogen DeVille: Yeah.

780
00:35:19,222 –> 00:35:22,396
Imogen DeVille: Yeah,
there was a statistic from a study that

781
00:35:22,396 –> 00:35:28,054
Imogen DeVille: Microsoft released at the beginning of
March where they did case studies on huge,

782
00:35:28,054 –> 00:35:32,609
Imogen DeVille: huge enterprises who had rolled out
copilot 12 months previously.

783
00:35:32,609 –> 00:35:36,542
Imogen DeVille: And I think it was like a 432% return in
investment was.

784
00:35:36,622 –> 00:35:44,582
Imogen DeVille: What they saw on average and that 79% of
the users felt that they had.

785
00:35:45,312 –> 00:35:46,312
Imogen DeVille: I guess more, they said.

786
00:35:46,312 –> 00:35:47,832
Imogen DeVille: Like more brain battery.

787
00:35:48,222 –> 00:35:52,550
Imogen DeVille: Because their brain wasn’t being utilized
on mundane tasks because copilot could

788
00:35:52,550 –> 00:35:54,902
Imogen DeVille: alleviate that and take that away from
you.

789
00:35:54,902 –> 00:35:58,011
Imogen DeVille: So they could actually focus on
innovation and the new thing and what

790
00:35:58,011 –> 00:36:00,942
Imogen DeVille: they actually paid to do,
rather all the admin behind the scenes.

791
00:36:01,102 –> 00:36:09,222
Imogen DeVille: So it is so amazing for productivity and
for just inspiration sounds.

792
00:36:09,222 –> 00:36:11,182
Imogen DeVille: You know when you’re in a bit of a rain
fog, aren’t you?

793
00:36:11,182 –> 00:36:12,622
Imogen DeVille: And you’re like,
how do I think about this?

794
00:36:13,392 –> 00:36:14,512
Imogen DeVille: Well, how do I respond to this?

795
00:36:14,552 –> 00:36:17,832
Imogen DeVille: Or what do I say about this if you kind
of ask copilot for ideas.

796
00:36:18,022 –> 00:36:19,862
Imogen DeVille: It can give you a kick up the ***.

797
00:36:19,862 –> 00:36:21,862
Imogen DeVille: Excuse my French in the right way.

798
00:36:21,862 –> 00:36:22,662
Imogen DeVille: You know what I mean?

799
00:36:22,662 –> 00:36:24,262
Imogen DeVille: So I think it’s really useful for that.

800
00:36:24,262 –> 00:36:26,381
Imogen DeVille: Again,
people need to be this isn’t a

801
00:36:26,381 –> 00:36:27,942
Imogen DeVille: replacement, it’s a copilot.

802
00:36:27,942 –> 00:36:31,774
Imogen DeVille: It’s to assist you and to get you out of
those those moments when you have been

803
00:36:31,774 –> 00:36:32,062
Imogen DeVille: stuck.

804
00:36:32,062 –> 00:36:32,662
Imogen DeVille: But it’s.

805
00:36:32,662 –> 00:36:35,502
Imogen DeVille: I mean,
it saves me hours and hours a week.

806
00:36:35,502 –> 00:36:38,182
Imogen DeVille: Now I can actually work, you know.

807
00:36:38,182 –> 00:36:38,942
Imogen DeVille: Well, she says.

808
00:36:38,942 –> 00:36:43,190
Imogen DeVille: 9:00 to 5:00 but probably 7 till 7 still,
but on a Friday I can I can log off at

809
00:36:43,190 –> 00:36:45,392
Imogen DeVille: 5:00,
so I don’t be online ’cause all the

810
00:36:45,392 –> 00:36:46,022
Imogen DeVille: admins done.

811
00:36:45,622 –> 00:36:47,262
JEFF WILLINGER: There you go exactly.

812
00:36:46,682 –> 00:36:48,802
Imogen DeVille: It’s exciting, yeah.

813
00:36:49,442 –> 00:36:54,001
JEFF WILLINGER: And then my last step really is,
I would say this is the least sexy part,

814
00:36:54,001 –> 00:36:57,082
JEFF WILLINGER: sort of like governance within your
organization.

815
00:36:57,202 –> 00:37:01,042
JEFF WILLINGER: It’s at ensuring ethical AI use and
compliance.

816
00:36:57,482 –> 00:36:57,962
Imogen DeVille: Yeah.

817
00:37:00,822 –> 00:37:00,982
Imogen DeVille: Cool.

818
00:37:01,042 –> 00:37:05,041
JEFF WILLINGER: Really set up those guidelines.
Those guard rails around.

819
00:37:05,041 –> 00:37:06,282
JEFF WILLINGER: What are we doing?

820
00:37:06,282 –> 00:37:09,115
JEFF WILLINGER: And make sure it’s all regulatory.
You know,

821
00:37:09,115 –> 00:37:12,516
JEFF WILLINGER: when I think about Health Science
accounting finserv,

822
00:37:12,516 –> 00:37:16,042
JEFF WILLINGER: it doesn’t matter what industry you
always have got to.

823
00:37:15,162 –> 00:37:15,602
Imogen DeVille: Yeah.

824
00:37:17,942 –> 00:37:22,823
JEFF WILLINGER: You always need to finish that off and
make sure that you’ve got those sort of

825
00:37:22,823 –> 00:37:24,182
JEFF WILLINGER: guard rails around it.

826
00:37:24,852 –> 00:37:26,892
Imogen DeVille: Yeah, and it’s the best way.

827
00:37:26,892 –> 00:37:29,212
Imogen DeVille: Would you suggest that people have a
standard AI policy?

828
00:37:29,212 –> 00:37:32,092
Imogen DeVille: That they’re constantly especially people
are brought to the business.

829
00:37:32,012 –> 00:37:37,353
JEFF WILLINGER: Oh, absolutely. Absolutely.
Have that sort of use and compliance that

830
00:37:32,092 –> 00:37:33,772
Imogen DeVille: This is our AI policy.

831
00:37:37,353 –> 00:37:41,932
JEFF WILLINGER: people will need to sign off on before
they start using it.

832
00:37:42,492 –> 00:37:44,332
Imogen DeVille: Yeah, yeah, definitely.

833
00:37:44,412 –> 00:37:46,292
Imogen DeVille: I 100% agree with that one.

834
00:37:46,692 –> 00:37:50,112
Imogen DeVille: We’ve for our AI training.
We can incorporate people’s AI policy

835
00:37:50,112 –> 00:37:54,374
Imogen DeVille: into our training and make it a bit more
customized because otherwise there’s no

836
00:37:54,374 –> 00:37:58,216
Imogen DeVille: way that an organization can train all
their staff on the same or rules.

837
00:37:58,216 –> 00:38:00,952
Imogen DeVille: And it’s important for people to have
that as much.

838
00:38:00,972 –> 00:38:04,323
Imogen DeVille: As you’ve got to do your various
trainings within the UK that you have to

839
00:38:04,323 –> 00:38:07,221
Imogen DeVille: have annual training,
I think there’s like harassment ones that

840
00:38:07,221 –> 00:38:08,172
Imogen DeVille: are all standardized.

841
00:38:08,912 –> 00:38:11,392
Imogen DeVille: The AI training very much should be the
same as that and trek.

842
00:38:12,222 –> 00:38:14,822
Imogen DeVille: Trek to the same standard, definitely.

843
00:38:16,312 –> 00:38:19,858
Imogen DeVille: Is there any other points that you wanted
to add to your strategy or advice for

844
00:38:19,858 –> 00:38:23,272
Imogen DeVille: people when they are rolling out II
adopting AI or anything like that, Jeff?

845
00:38:25,182 –> 00:38:30,902
JEFF WILLINGER: No, I I I have realistic expectations.

846
00:38:26,502 –> 00:38:27,102
Imogen DeVille: No.

847
00:38:30,862 –> 00:38:32,262
Imogen DeVille: Yes, agreed.

848
00:38:32,352 –> 00:38:35,570
JEFF WILLINGER: You know, again,
just like I mentioned diet earlier or

849
00:38:32,462 –> 00:38:33,302
Imogen DeVille: Definitely agreed.

850
00:38:35,570 –> 00:38:38,672
JEFF WILLINGER: even dating,
you don’t go on one date and expect you

851
00:38:38,672 –> 00:38:41,832
JEFF WILLINGER: to get married the next day or you go on
three dates.

852
00:38:41,242 –> 00:38:41,802
Imogen DeVille: True.

853
00:38:42,072 –> 00:38:43,192
JEFF WILLINGER: It takes time.

854
00:38:43,192 –> 00:38:44,312
JEFF WILLINGER: Crawl, walk, run.

855
00:38:44,312 –> 00:38:49,912
JEFF WILLINGER: Let’s get what let’s identify with those
quick wins are and let’s you know.

856
00:38:49,912 –> 00:38:51,312
JEFF WILLINGER: Let’s hop on those.

857
00:38:52,422 –> 00:38:53,422
Imogen DeVille: Yeah. Thank you.

858
00:38:53,492 –> 00:38:56,572
Imogen DeVille: I appreciate that and I loving the use of
metaphors. I love it.

859
00:38:57,012 –> 00:38:57,692
JEFF WILLINGER: I’m all about.

860
00:38:57,692 –> 00:38:59,332
JEFF WILLINGER: I’m all about again.

861
00:38:59,332 –> 00:39:03,529
JEFF WILLINGER: I’m all about use cases, you know,
dating to getting married,

862
00:39:02,482 –> 00:39:02,962
Imogen DeVille: Yeah.

863
00:39:03,529 –> 00:39:09,079
JEFF WILLINGER: interviewing to get a job, losing weight.
The things that people think about on a

864
00:39:09,079 –> 00:39:09,892
JEFF WILLINGER: daily basis.

865
00:39:09,892 –> 00:39:11,852
JEFF WILLINGER: And copilot is no different.

866
00:39:11,852 –> 00:39:15,392
JEFF WILLINGER: AI is no different.
Just because you have it doesn’t mean

867
00:39:15,392 –> 00:39:20,092
JEFF WILLINGER: it’s going to solve business problems at
the end of the day, it’s you and I.

868
00:39:20,572 –> 00:39:23,532
JEFF WILLINGER: It’s the employees that are solving those
business problems.

869
00:39:23,532 –> 00:39:24,892
JEFF WILLINGER: We still need employees.

870
00:39:25,672 –> 00:39:26,752
Imogen DeVille: Definitely, yeah.

871
00:39:26,752 –> 00:39:31,014
Imogen DeVille: And that that’s why I guess because I
don’t know if you saw there was a recent

872
00:39:31,014 –> 00:39:31,392
Imogen DeVille: report.

873
00:39:31,392 –> 00:39:32,850
Imogen DeVille: Gosh,
I think it was in February time where

874
00:39:32,850 –> 00:39:33,712
Imogen DeVille: Salesforce were basically.

875
00:39:33,712 –> 00:39:36,152
Imogen DeVille: I know that’s one of Microsoft,
but it was a Salesforce.

876
00:39:36,152 –> 00:39:39,518
Imogen DeVille: They were saying how they’re not focusing
on hiring any technical people,

877
00:39:39,518 –> 00:39:42,337
Imogen DeVille: they’re only focusing on customer
relations and sales people.

878
00:39:42,337 –> 00:39:46,022
Imogen DeVille: So don’t undervalue those soft skills as
well when moving into the generation of

879
00:39:46,022 –> 00:39:49,342
Imogen DeVille: AI because people are, you know,
we are the world. If that’s a bit, COR.

880
00:39:49,352 –> 00:39:50,952
Imogen DeVille: But we we make the world.

881
00:39:51,702 –> 00:39:53,313
Imogen DeVille: Turn.
So there’s something there to definitely

882
00:39:53,313 –> 00:39:53,622
Imogen DeVille: consider.

883
00:39:54,162 –> 00:39:55,402
Imogen DeVille: What’s your thoughts on that then?

884
00:39:54,322 –> 00:39:55,082
JEFF WILLINGER: I mean, I saw.

885
00:39:55,882 –> 00:40:02,082
JEFF WILLINGER: I saw a commercial recently and it was a
robot mowing a guy’s lawn while the guy.

886
00:40:00,912 –> 00:40:03,070
Imogen DeVille: Oh,
I got chased by one of those robots at

887
00:40:03,070 –> 00:40:03,672
Imogen DeVille: the weekend.

888
00:40:03,622 –> 00:40:03,782
JEFF WILLINGER: Just.

889
00:40:03,752 –> 00:40:04,552
Imogen DeVille: I’m not even lying.

890
00:40:04,552 –> 00:40:06,632
Imogen DeVille: I actually got chased by someone.

891
00:40:08,132 –> 00:40:09,292
JEFF WILLINGER: Of course he did.

892
00:40:08,262 –> 00:40:08,902
Imogen DeVille: So what is that?

893
00:40:08,902 –> 00:40:10,462
Imogen DeVille: And then I was like,
must be a lawn cutter.

894
00:40:10,822 –> 00:40:12,788
Imogen DeVille: And there was like,
this tiny little robot moving across the

895
00:40:12,788 –> 00:40:12,982
Imogen DeVille: grass.

896
00:40:12,982 –> 00:40:13,502
Imogen DeVille: It was terrified.

897
00:40:14,142 –> 00:40:16,102
JEFF WILLINGER: Right. That’s what I’m saying.

898
00:40:16,102 –> 00:40:20,588
JEFF WILLINGER: So I think that in the near future,
they’re just like they’re self driving

899
00:40:20,588 –> 00:40:22,502
JEFF WILLINGER: cars and Arizona, they’re ubers.

900
00:40:22,502 –> 00:40:26,814
JEFF WILLINGER: That, or it’s not Uber,
but a form of Uber that will pick you up

901
00:40:25,792 –> 00:40:26,432
Imogen DeVille: Yeah.

902
00:40:26,814 –> 00:40:27,942
JEFF WILLINGER: without a driver.

903
00:40:28,512 –> 00:40:30,512
Imogen DeVille: Wow. Mental.

904
00:40:29,382 –> 00:40:29,902
JEFF WILLINGER: Yeah.

905
00:40:31,622 –> 00:40:31,822
JEFF WILLINGER: Crazy.

906
00:40:32,062 –> 00:40:37,956
Imogen DeVille: Scary stuff. I mean, Speaking of that,
I know that have mentioned this to a

907
00:40:37,956 –> 00:40:38,422
Imogen DeVille: focus.

908
00:40:38,422 –> 00:40:41,096
Imogen DeVille: Obviously,
we’ve known each other for a couple of

909
00:40:41,096 –> 00:40:43,877
Imogen DeVille: months now,
but about how in the podcast we like to

910
00:40:43,877 –> 00:40:48,262
Imogen DeVille: structure it to be how failure isn’t a
failure and it’s a form of success, right?

911
00:40:48,262 –> 00:40:49,782
Imogen DeVille: And so I wanted to ask you.

912
00:40:51,542 –> 00:40:54,102
Imogen DeVille: You know,
were either professionally or personally.

913
00:40:54,102 –> 00:40:57,222
Imogen DeVille: Have you faced what could be considered
as a failure?

914
00:40:57,492 –> 00:41:02,271
Imogen DeVille: And then you’ve actually turned that to a
positive and then from that has become a

915
00:41:02,271 –> 00:41:02,732
Imogen DeVille: success.

916
00:41:02,852 –> 00:41:04,492
Imogen DeVille: Have you got any examples?

917
00:41:06,412 –> 00:41:09,066
JEFF WILLINGER: You know,
I’m always thinking of business

918
00:41:09,066 –> 00:41:14,248
JEFF WILLINGER: development and partnerships sort of like
a company sort of rejects you the first

919
00:41:14,248 –> 00:41:17,092
JEFF WILLINGER: time and then you knock on their door
again.

920
00:41:14,782 –> 00:41:15,142
Imogen DeVille: Yeah.

921
00:41:17,852 –> 00:41:22,778
JEFF WILLINGER: And make sure, just like life, you know,
people don’t always see the whole picture

922
00:41:22,778 –> 00:41:25,212
JEFF WILLINGER: and they don’t know what they don’t know.

923
00:41:25,492 –> 00:41:28,332
JEFF WILLINGER: So really making sure that I think that.

924
00:41:25,962 –> 00:41:26,162
Imogen DeVille: Mm hmm.

925
00:41:29,822 –> 00:41:34,662
JEFF WILLINGER: Sort of my biggest lack there weakness
that I turn into a strength was really.

926
00:41:35,782 –> 00:41:39,190
JEFF WILLINGER: I know that there’s some phrase out there
and I forget what it is about

927
00:41:39,190 –> 00:41:40,942
JEFF WILLINGER: understanding what people are saying.

928
00:41:43,612 –> 00:41:45,412
JEFF WILLINGER: But really, making sure that.

929
00:41:46,942 –> 00:41:50,810
JEFF WILLINGER: You’re you’re understood by your client
before you jump to a conclusion,

930
00:41:50,810 –> 00:41:55,050
JEFF WILLINGER: and many times people will only read that
first line and not read further down,

931
00:41:55,050 –> 00:41:58,760
JEFF WILLINGER: when in reality if they just read a
little bit longer they would have

932
00:41:58,760 –> 00:41:59,502
JEFF WILLINGER: understood it.

933
00:41:59,542 –> 00:42:03,508
JEFF WILLINGER: So it’s just making sure that clients
understand where you’re coming from and

934
00:42:00,372 –> 00:42:00,452
Imogen DeVille: Mm.

935
00:42:03,508 –> 00:42:05,542
JEFF WILLINGER: being a good communicator. I think that.

936
00:42:06,812 –> 00:42:10,612
JEFF WILLINGER: There’s so much bad communication out
there I can’t even tell you.

937
00:42:10,652 –> 00:42:13,433
JEFF WILLINGER: And yeah,
AI makes it easier to communicate,

938
00:42:13,433 –> 00:42:18,438
JEFF WILLINGER: but it’s with the AI language we’re going
to be seeing at the bottom of people’s

939
00:42:18,438 –> 00:42:20,292
JEFF WILLINGER: emails and different articles.

940
00:42:20,412 –> 00:42:25,012
JEFF WILLINGER: This article was not used was AI was not
used to write this article.

941
00:42:25,132 –> 00:42:26,692
JEFF WILLINGER: And I guess there’s a way.

942
00:42:25,462 –> 00:42:26,102
Imogen DeVille: Yeah.

943
00:42:26,732 –> 00:42:30,622
JEFF WILLINGER: Now I’m not sure what it is where you
could determine if someone used AI to

944
00:42:30,622 –> 00:42:31,492
JEFF WILLINGER: write an article.

945
00:42:31,992 –> 00:42:34,232
Imogen DeVille: You can do. There’s an AI tool for that.

946
00:42:32,102 –> 00:42:33,382
JEFF WILLINGER: I don’t even know how you could do that.

947
00:42:34,232 –> 00:42:36,705
Imogen DeVille: There’s an AI tool for that,
which is mental,

948
00:42:36,705 –> 00:42:41,168
Imogen DeVille: but it’s kind of like when you hand your
exam papers in online and then they check

949
00:42:41,168 –> 00:42:42,512
Imogen DeVille: if it’s been plagiarized.

950
00:42:42,512 –> 00:42:45,421
Imogen DeVille: I imagine it’ll use the same AI tools
behind that, but yeah,

951
00:42:45,421 –> 00:42:48,951
Imogen DeVille: there’s definitely something I did
LinkedIn post yesterday and I actually

952
00:42:48,951 –> 00:42:51,813
Imogen DeVille: put the bottom hey,
I did not was not used, so I’m already.

953
00:42:51,813 –> 00:42:52,672
Imogen DeVille: I’m like. Hi Jeff.

954
00:42:53,502 –> 00:42:55,142
JEFF WILLINGER: Yeah, I’m with you. I’m with you.

955
00:42:55,372 –> 00:42:58,492
Imogen DeVille: In the absence of emojis as well.

956
00:42:56,692 –> 00:42:57,172
JEFF WILLINGER: Yeah.

957
00:42:58,492 –> 00:43:02,518
Imogen DeVille: But I do like what you’ve said about
business development and how that in

958
00:43:02,518 –> 00:43:05,293
Imogen DeVille: itself is,
you could argue is consistently failure

959
00:43:05,293 –> 00:43:09,700
Imogen DeVille: until you get the sale across the line
until you can have a person on the on the

960
00:43:09,162 –> 00:43:10,602
JEFF WILLINGER: Yes. Yep.

961
00:43:09,700 –> 00:43:09,972
Imogen DeVille: call.

962
00:43:10,052 –> 00:43:15,207
Imogen DeVille: And that’s something both of us are faced
being in the roles that we’ve done and it

963
00:43:15,207 –> 00:43:19,012
Imogen DeVille: is the demoralizing excuse, my French,
but it’s pretty savvy.

964
00:43:19,012 –> 00:43:21,812
Imogen DeVille: But once you do get that win,
I’ll speak to the right personal.

965
00:43:21,812 –> 00:43:23,892
Imogen DeVille: She can see that the solution that you
provide to the client.

966
00:43:24,012 –> 00:43:25,572
Imogen DeVille: Is like the best thing.

967
00:43:25,572 –> 00:43:26,452
Imogen DeVille: And it does change.

968
00:43:26,452 –> 00:43:28,732
Imogen DeVille: So yeah, thank you so much for that.

969
00:43:29,122 –> 00:43:31,139
Imogen DeVille: But yeah,
thank you very much for being on the

970
00:43:31,139 –> 00:43:31,482
Imogen DeVille: podcast.

971
00:43:31,482 –> 00:43:35,323
Imogen DeVille: Is there anything else that you wanted to
add that you think is important for our

972
00:43:35,323 –> 00:43:36,682
Imogen DeVille: listeners to take from today?

973
00:43:37,862 –> 00:43:39,462
JEFF WILLINGER: No, it’s been terrific.

974
00:43:39,662 –> 00:43:41,462
JEFF WILLINGER: I love talking about these topics.

975
00:43:39,892 –> 00:43:40,612
Imogen DeVille: Yeah.

976
00:43:41,462 –> 00:43:44,262
JEFF WILLINGER: You’re an amazing Hostess host.

977
00:43:43,252 –> 00:43:44,052
Imogen DeVille: Oh, thanks.

978
00:43:45,572 –> 00:43:46,212
Imogen DeVille: Appreciate it. Cheers.

979
00:43:46,022 –> 00:43:48,902
JEFF WILLINGER: Yeah,
I guess if people wanted to get a hold of

980
00:43:48,902 –> 00:43:51,482
JEFF WILLINGER: me,
the best way is my first name and last

981
00:43:51,482 –> 00:43:53,342
JEFF WILLINGER: name [email protected].

982
00:43:53,342 –> 00:43:54,622
JEFF WILLINGER: I’m a big e-mail guy.

983
00:43:54,622 –> 00:43:56,222
JEFF WILLINGER: Sorry, I just love e-mail.

984
00:43:57,982 –> 00:44:06,462
JEFF WILLINGER: I’m on Instagram every day on Instagram.
I am the real J Willie JWILL i.e.

985
00:44:05,932 –> 00:44:06,612
Imogen DeVille: What’s up?

986
00:44:07,632 –> 00:44:09,192
JEFF WILLINGER: I’m on Instagram every day.

987
00:44:09,192 –> 00:44:11,512
JEFF WILLINGER: I posting usually positive vibes.

988
00:44:13,222 –> 00:44:14,102
JEFF WILLINGER: And I’m on Facebook.

989
00:44:14,102 –> 00:44:18,062
JEFF WILLINGER: You know I’m. Oh, my gosh, LinkedIn,
of course.

990
00:44:14,862 –> 00:44:16,382
Imogen DeVille: And you’ve got LinkedIn as well,
don’t you?

991
00:44:16,382 –> 00:44:20,774
Imogen DeVille: Will tag you in the LinkedIn, so people.
Yeah, you’ve got a big presence on there.

992
00:44:18,062 –> 00:44:20,102
JEFF WILLINGER: This this is a business thing.

993
00:44:20,774 –> 00:44:23,262
Imogen DeVille: I was gonna say you’re missing a plug.
Virgin.

994
00:44:20,782 –> 00:44:22,582
JEFF WILLINGER: Oh, yeah, yeah, yeah.

995
00:44:22,582 –> 00:44:24,062
JEFF WILLINGER: Jeff Willinger on LinkedIn.

996
00:44:24,102 –> 00:44:27,622
JEFF WILLINGER: Yes, I post maybe once a week.

997
00:44:25,132 –> 00:44:25,292
Imogen DeVille: Yeah.

998
00:44:27,902 –> 00:44:31,685
JEFF WILLINGER: I’m gonna start to do more polls because
I’m curious about different things within

999
00:44:31,685 –> 00:44:31,822
JEFF WILLINGER: AI.

1000
00:44:32,702 –> 00:44:33,622
JEFF WILLINGER: I write articles.

1001
00:44:34,052 –> 00:44:41,572
JEFF WILLINGER: On migration from 1 system to another,
migrating off a box onto one drive.

1002
00:44:41,722 –> 00:44:43,722
Imogen DeVille: Yeah, just things like that.

1003
00:44:42,982 –> 00:44:44,822
JEFF WILLINGER: I’ve got a lot to say as you’re finding
out.

1004
00:44:45,332 –> 00:44:47,691
Imogen DeVille: Yeah. No,
but we we love to hear it and thank you

1005
00:44:47,691 –> 00:44:50,946
Imogen DeVille: so much for the podcasting.
If anyone wants to be in touch with Jeff

1006
00:44:50,946 –> 00:44:54,672
Imogen DeVille: for some advice or some expertise as well,
very much dropping a message across

1007
00:44:54,672 –> 00:44:55,852
Imogen DeVille: because he’s a great guy.

1008
00:44:55,932 –> 00:44:57,488
Imogen DeVille: But yeah,
thank you so much for being on the

1009
00:44:57,488 –> 00:44:57,972
Imogen DeVille: podcast, Jeff.

1010
00:44:58,682 –> 00:44:59,322
JEFF WILLINGER: Thank you.

1011
00:44:59,322 –> 00:45:00,722
JEFF WILLINGER: Have a great everything.

1012
00:45:00,722 –> 00:45:03,000
JEFF WILLINGER: What a pleasure.
Look forward to doing this

1013
00:45:01,012 –> 00:45:03,000
Imogen DeVille: Yes, you too.