
How to Observe Real Work Before Proposing an AI Use Case
A practical field method for observing real workflows, testing reported bottlenecks and framing evidence-backed AI opportunities without mistaking complaints for proof.
Practical intelligence for accountable AI programs.
Find decision, content, knowledge, prediction and workflow opportunities grounded in real work.

A practical field method for observing real workflows, testing reported bottlenecks and framing evidence-backed AI opportunities without mistaking complaints for proof.
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Ten topics covering the full life of an AI program, from first use case to retirement.