“We can do at least 30% more”
“The code gets better”
“AI does the boring work”
“You can own a project without knowing the language”
“It makes us invincible”
“We are learning faster”
The human side of AI adoption
Starting soon
Hopes & Fears

Bridging ITSM and Engineering Teams towards Coordinated AI Adoption

Without
Losing Ourselves

The human side of AI adoption
MS
Matej Strašek
Engineering leader · navigating AI adoption with his teams
IA
Irene Anggreeni
Mental fitness coach · mentor on the human side of change

Before our story — yours

A quick show of hands.

Who's helping their own team adopt AI?
Who's supporting adoption in other teams? Hands up for both.
Who's seen enthusiasm and hesitation in the same person? Maybe even in yourself.

Keep that person in mind as we go.

For me, that person was me

And I felt panic.

Friday, April 26

This is not that talk

Not what AI can do —
the human side of adopting it.

“Are we losing the craft we built our careers on?”
“Is my job replaceable by an AI agent?”
“What becomes of us then?”

“But our situation is different…”

Service desk & ITSM aren't the exception — you're the driver.

You keep the organisation productive. That makes service desk & IT support how AI adoption reaches every department — not just by handing people tools, but by helping them make the change themselves.

You'll leave with a conversation to run with your team — and a way to turn it into a next step.

What it really felt like inside

An emotional rollercoaster.

Everyone on their own ride, moving at a different speed — and I was trying to help them while hanging upside down on mine.

The pressure from above

“Use AI in every project.”
“Scale without adding people.”

Excitement from shareholders and management became expectation, then a target.

+30% more this year Our actual moonshot — on average, quality maintained

What the engineers carried

“We're losing control over the code.”
“Tech debt will explode.”
“Will I still have work in IT?”
“I don't want to lose my job.”
“I'm losing my skills — AI is the one who codes.”

Making sense of it · Bridges Transition Model

Every change dips before it lifts.

The part we don't name

Every change — even a good one — asks us to let something go.

Engineers were grieving their professional identity, their confidence in the craft, their old familiar work. In ITSM you're leading org change — a lot of hidden, undiagnosed grief.

You don't “get over” grief. With time, your life grows bigger around it.

The golden question

How do you help people move through grief safely — not stuck?

What we tried

Get all of us to admit — out loud, together — where we actually are.

make it safe enough,
and trusted enough.

The exercise

Hopes & Fears.

That hour, I fixed nothing. I just listened.

We aimed to answer three things

Everyone's cards on the table.

Hopes

The best possible scenario

with AI in engineering.

Fears

The worst that could happen

because of AI in engineering.

Skills

What we'll really need

to reach the hopes — and move through the fears.

By the end

The fears filled twice the space of the hopes — that was the point.

What came after

None of it turned around in that meeting — it came later, in small things.

A quiet engineer says one sentence in a 1:1.
Someone changes one word in how they describe their job.
Someone shares a link — others reply.

If only it was that simple.

From a blank board — four pathways

Four ways people move through the change.

01

The Generalist

Mary
02

The Craft Lover

Sam · Nadia
03

The Pragmatic Delegator

Pete
04

The Wall

Jake
01The GeneralistMary · manual QA → engineer

Strength

Interconnected, big-picture thinking — sees possibility everywhere and grasps it.

Saboteur · Restless

Chases every new thing; the excitement quietly tips into overextension. Risk: burnout.

The move

Guardrails on the enthusiasm — fewer things, deeper. They didn't need their fear fixed; they needed permission to move while still a little afraid.

“Not understanding every line is the job now. That's not you failing.”

02The Craft LoverSam · Nadia · senior engineers

Strength

Deep care for the craft, the patterns, correctness. High standards, real attention to detail.

Saboteur · Perfectionist + Controller

“It has to follow the rules exactly.” “Don't touch my code.” Underneath it is grief.

The move

Reframe the resistance as grief — don't push. Then redirect the perfectionism to a new object: the standards, the evals, the architecture the whole team's AI depends on.

“Your craft is what makes the AI good.”

03The Pragmatic DelegatorPete · senior → staff

Strength

Trusts AI, delegates fully, orchestrates agents, ships confidently. Went furthest, fastest.

Saboteur · Hyper-Vigilant

Threat-scanning, scarcity. The subtlest fear: “if I do this perfectly, I make myself disappear.”

The move

Take the scarcity off him — we removed the visible AI-spend limit and budgeted at project level instead. Then the real conversation.

“Your job isn't ending — it's getting bigger, and more important.”

04The WallJake

Saboteur · Victim + Avoider + Judge

Knew exactly what to do, could describe the wall — could never start. Month after month, knowing didn't become doing.

The read — you can't tell from outside

fear · exhaustion · clarity?

The move — diagnose first, then respond

Clarity“I don't value this anymore” → help them exit with dignity. ExhaustionTreat as a burnout signal — a load problem, not an attitude. FearMake the unknown smaller — one concrete step — and be the steady presence.

You're on the same rollercoaster

“Afraid of losing my job”
→ “afraid for my people's jobs”
→ “what even is my job now?”

The Judge, the Hyper-Achiever chasing the OKR, the Controller tightening the roadmap — my saboteurs, too.

You can't be the steady presence if your own saboteurs are running.

The tools matter less than the people who wield them.

To win at AI adoption, support the people navigating reinvention — without losing themselves.

Take these home

Three key insights.

1

The Hopes & Fears blueprint

The exact format — so you can run it with your team next week.

2

Reframe resistance as an identity signal

Treat 1:1s as coaching. Diagnose before you label.

3

What changes when people feel heard

They redefine, together, what engineers are becoming.

Insight 01  The Hopes & Fears blueprint

Whole team · one hour · two boards
1
Name where you are.Break the ice — 5–6 min of open discussion.
2
Two boards up at once: hopes & fears.Best future of AI in dev — and what could go wrong.
3
Write alone, in silence.One thought per note. The silence is the point.
4
Read each note aloud — fix nothing.No reassuring. You just listen.
5
Which skills will really matter in 2–3 years?For us: empathy, curiosity, critical thinking, problem analysis, business sense.
6
So what do we do next sprint?Those answers become the plan.

The detailed step-by-step is the resource behind the QR at the end — fill in the quick survey and we'll email it to you.

Insight 02  Resistance is an identity signal

Treat 1:1s as coaching, not performance. Before you label something “resistance,” ask what the person is actually afraid of.

“I'll listen like I've been wrong.” Different diagnosis — different response; empathy and curiosity, not pushing.

“Do I understand you're concerned about…?”
“Tell me more.”
“What possibilities do you see — for you, the team, the company?”
“Can I share what I think?”
“Would you be willing to…? What's needed — how can I help?”

Insight 03  What changed when people felt heard

They started redefining themselves —
in their own words.

problem solvers AI orchestrators champions

One question, before we hand it back

When did you last talk with someone about AI — and it wasn't about a tool, a deadline, or a problem to fix?
That gap — right there — is where AI adoption actually happens. Or doesn't.
On Monday, that person will look to someone. Let it be you.

If I could tell my panicking self one thing

The AI winners won't be the teams with the best tools.

They'll be the ones who help the people navigate change without losing themselves.

Two questions — that's all

Scan, and tell us.

1
What would you tell a colleague about this session?
2
What will you do about it — next Monday? Not next quarter. One small, concrete thing.

Scan and you'll also get the Hopes & Fears blueprint — so this becomes something you do, not just a talk you heard.

Scan to open the feedback form and get the blueprint

Over to you

Yours are all different.
So — what do you think?

What applies, what doesn't, any doubt or question you're sitting with. That's the part we've been looking forward to.

● Matej Strašek ● Irene Anggreeni
Revisit these slides anytime at hopesandfears.ai
Still open
Scan for the feedback form and the blueprint
feedback + blueprint
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