Playbook · Guide

Give the work an owner.

An AI workflow needs an operating owner who can explain how the result is used and what happens when it is wrong.

01 · Assign responsibility

Name the owner of the process and the owner of its source information. Decide who can change the workflow and who handles exceptions.

02 · Define the review point

Spell out which outputs a person reviews before use and which actions require authorization. Tie the review to the effect of a mistake in this particular process.

03 · Set the information boundaries

Use approved sources and appropriate access. Check who can see the input and the resulting output. Keep confidential information within the company’s approved environment.

04 · Make errors visible

Give users a clear way to report an unsupported answer, a missing requirement, or an outdated source. Record the correction so that the same issue can become a future test.

05 · Review the operating fit

Check whether the workflow still serves the intended task. NIST’s AI Risk Management Framework and its generative AI profile provide broader resources for connecting risk management to organizational priorities.

The useful question

Make it testable.

Who owns it? Who reviews it? Who can change it? What happens when it fails?

Further reading

NIST · AI Risk Management Framework

These resources inform the implementation approach. The business concepts and pilot suggestions are original editorial starting points.

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