How long should an AI pilot take?

Four to six weeks is enough for most focused pilots to produce a measured result.

What is a pilot scorecard?

A one-page summary of target versus measured results, risks, costs and a recommendation to scale or stop.

No baseline. Nobody measured the process before, so nobody can prove the pilot improved it.
Toy data. The demo used clean samples; production data is messy.
No owner. The pilot belonged to an innovation team, not the business that would run it.
Security and risk arrive late. Reviews start after the build and send it back to the start.
Integration is an afterthought. The pilot works in a sandbox but not in the systems people use.

Choose a process with an owner who wants it improved and will run it afterwards.
Measure the baseline and agree one primary metric.
Use real data in a real environment from week one, with security in the room.
Set stop criteria and a decision date before building.
Finish with a scorecard: target versus result, risks, run costs and a clear go or no-go.
Plan production on day one: monitoring, support, training and who owns improvements.

A good pilot answers one question with evidence: should we scale this?

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