
How to Observe Real Work Before Proposing an AI Use Case
A practical field-research method for testing workflow complaints, locating recurring constraints and deciding whether AI deserves a controlled trial.
Practical intelligence for accountable AI programmes.
Find decision, content, knowledge, prediction and workflow opportunities grounded in real work.

A practical field-research method for testing workflow complaints, locating recurring constraints and deciding whether AI deserves a controlled trial.
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Ten topics covering the full life of an AI programme, from first use case to retirement.