What happens when AI
joins your project team?

Johan Wallquist Partner Tech Strategist, Microsoft

AI is already working across the whole assignment.

Understand

Workshop preparation

You understand the customer

Explore

First prototype

You test the assumptions

Deliver

Draft deliverable

You own the recommendation

Improve

Reusable method

The team reviews what to share

Earlier feedback changes the work.

A proposal to read

Customer feedback after the handoff

A first version to try

Customer feedback while we can change it

Make reusable IP part of delivery.

Fewer billed hours can reduce revenue.
Profit needs its own calculation.

Time-based revenue

Fewer billed hours can mean less revenue.

What happens to the capacity?

Useful customer work. Stronger delivery IP.

Pricing, cost and customer demand still matter.

Nobody has finished
learning this.

Become the person your team turns to.

Start with one useful capability.

You can make a useful first attempt earlier.

Your first attempt

Try a small working version with AI.

A better expert conversation

Bring something concrete and questions.

Meet Alex.
He's new on the job.

Alex Lind, the new joiner, at his laptop

Fictional case

Scout · project insight
Evidence preparation keeps coming up in the project notes.

I linked the comments and batch-alert history. Worth checking?

Alex discussing requirements with the customer quality reviewer

The clues were in different places.

A recurring check has found a possible improvement.

Alex reviewing the exploration

Now test it with the customer.

The sources are linked. The customer still needs to confirm the problem.

What is worth testing?

Turn the signal and customer answers into a small working brief.

A clear brief for the first version.

Test evidence preparation. Measure the effort. Keep quality review.

Build the first version with AI.

The approved sample brief is loaded. No live customer system.

Ready for customer feedback.

Alex asks AI to fix it, then checks again.

Alex and the customer reviewing the working example

The customer decides what happens next.

Customer feedback narrows the scope.

Maya BergPartner and Client Lead
EirNova wants to go ahead. They asked for you on the team.

Nice work, Alex. We should talk about your bonus.

If AI does the first draft,
how do you learn the job?

Your part

Explain the reasoning. Check the result.

The firm's part

Give you real work with a mentor.

Let AI help you prepare.
Give people your attention.

Keep your judgement. If something feels wrong, ask why.

Bring one useful idea to your lead.

Agree a small test and a reviewer.

The next team should inherit the lesson.

Johan Wallquist
Johan WallquistPartner Tech Strategist, Microsoftjwallquist@microsoft.comConnect on LinkedInlinkedin.com/in/johanwallquist
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