An experienced editor carefully reviewing an article draft on a desktop screen.

AI. Judgment. Responsibility.

Who checks what AI gets wrong?

One9Six

The useful question is how an AI draft becomes work you can stand behind. Give the process reliable inputs, editorial judgment and a named person responsible for approval.

Give the output an owner.

A convincing sentence can contain an unsupported claim. A smooth translation can change a technical meaning. An apparently harmless prompt can include information that should have stayed inside the organisation. Treat review as a defined stage of the workflow, with access to the original sources and the authority to return the work for correction.

  1. Source

    Approved information

  2. Draft

    A defined task

  3. Review

    Evidence and meaning

  4. Approve

    A named owner

Put the thinking to work

Before this draft goes public

Record the checks you have completed. Unchecked items remain actions for the responsible reviewer. This is a working checklist, not an automated assessment of accuracy.

Mark completed checks
0 of 6 checks recorded

Mark what has been completed. Keep unresolved priority checks in review.

A situation worth examining

A technical article may read well while confusing a product capability with a planned feature. The reviewer returns to the approved product documentation, corrects the wording and asks the specialist to confirm it before publication.

What comes next
for your business?

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