Less a lecture, more a working session. You bring your processes; we bring the questions.
By the end your team will have picked out the handful of tasks where AI earns its keep, ruled out the ones where it would only get in the way, and named the things — data, permissions, skills, a person with time — that have to be in place first.
What we cover
- Mapping the work As it is actually done, not as the process document says.
- Scoring candidate tasks How repetitive, how tolerant of error, how much data exists.
- Readiness questions Almost nobody passes first time. Here is what to do about that.
- A shortlist One your team believes in, because they made it themselves.
Who it suits
Teams that have decided AI is worth exploring and now need to know where to point it. Best run with the people who do the work in the room, not only their managers.
