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- Posted Date:
- Aug 1, 2026
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What Actually Happens in an AI Adoption Engagement

Diagnose Before You Prescribe
People often picture an AI project as installing software. In practice, the engagement I run looks much closer to physical therapy for a business process. Diagnose first, then rebuild strength gradually, then check that it holds under real conditions.


From Workshop to Working on Its Own
It starts with an AI readiness audit. I sit with the team and map what they actually do all day, not what the org chart says they do. Which tasks repeat every week, where the bottlenecks are, what data already exists and whether it's usable. This is where most AI projects fail before they even begin, because someone skips straight to picking a tool without knowing which problem it's supposed to solve.
- AI readiness audit: map what the team actually does, not what the org chart says
- Custom adoption roadmap: two or three concrete starting points, not a thirty-item wishlist
- Live workshops and prompt engineering built around real documents and real client questions
- Hands-on training until the workflow runs without me in the room
- A KPI agreed before we start, so the result is a number, not a feeling
The hands-on training that follows is where a tool either sticks or quietly disappears in three months. I stay with the team while they use it on live work, correct the parts that don't fit yet, and set the KPI we agreed to track before we started. Only once the workflow is running on its own, with someone inside the organization able to keep it running without me, do I consider the engagement finished. That takes up to 12 weeks, depending on scope, because a process often needed fixing before AI could help it at all. Read why measuring value matters more than tool activity.
“ I would rather tell a client that honestly than hand them a shiny tool sitting on top of a broken workflow. “
Alicja Kozłowska
That's the difference between an engagement that ends when I leave and one that keeps paying off a year later. Read how I got here, from coaching words to coaching workflows.
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