
How to Observe Real Work Before Proposing an AI Use Case
A practical field method for studying real workflows, testing bottleneck hypotheses and choosing AI only when evidence beats simpler alternatives.
Clear, source-led guidance for accountable business AI.
Find opportunities in decisions, content, knowledge, prediction and workflows that are grounded in real work.

A practical field method for studying real workflows, testing bottleneck hypotheses and choosing AI only when evidence beats simpler alternatives.
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Ten topics covering the full life of an AI program, from first use case to retirement.