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AI workflow design sheet

Connect a request to a useful result, with named information sources and human responsibilities.

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Start with one recurring job. Use fixed software rules for checks that can be stated clearly; mark where a model or a person needs to interpret something.

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Job

Steps

Evidence and exceptions

Release and learning

Worked example · Invented for this guide

A client asks for a content draft

Invented teaching example. No client outcome is claimed.

Request

Prepare a short draft for an agreed audience, using the current client brief.

Rules

Use records for this client only.

Do not publish or create an unsupported factual claim.

Work

Retrieve the approved brief and relevant context.

Prepare a draft and preserve the records used.

Exceptions

If the brief does not support a claim, leave it out and explain the gap.

If records conflict, show the disagreement to the named reviewer.

Review

The reviewer checks the draft and authorises the next step.

The accepted decision is recorded for later work.

Proposed content-request workflow
  1. Client

    Receive a specific request

    Name the audience, purpose and kind of content required.

  2. Software rules

    Check which information may be used

    Select this client’s approved records and check their validity and access.

  3. AI model

    Prepare a draft with supporting records

    Use the selected brief and context. Attach the evidence needed for factual claims.

  4. Client or named expert

    Review the draft and the evidence

    Check accuracy, suitability and whether the request needs specialist advice.

  5. Approved publishing process

    Release and record the decision

    Publish only through the agreed route and retain the approved version.

Missing evidence returns an unknown or a question. A draft is not permission to publish, spend money or change the client’s systems.