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What should a practical AI discovery workshop produce?

What an AI discovery workshop should deliver

A useful workshop leaves the organisation with a shared problem definition, prioritised opportunities, practical constraints, and an agreed next decision.

· By Kumash Shah · 3 min read

01

A shared view of the workflow

The group should leave with a common picture of how work currently moves, where information is lost or delayed, where people repeat effort, and where decisions slow down.

02

A prioritised opportunity set

Not every AI idea deserves equal investment. Prioritisation should make the value, evidence, feasibility, dependency, risk, and owner of each candidate opportunity visible.

03

A decision-ready next step

The next step may be a proof of concept, a data-readiness activity, a workflow redesign, or a decision not to automate yet. Clarity on that decision is more valuable than a long list of untested ideas.

Sources and further reading

AI transformation consulting — Kumash Shah Kumash Shah profile