Keep accountability attached to the outcome
Assign responsibility for source quality, generated output, execution and operational maintenance. These may belong to different people, but the boundaries should be explicit. A tool can produce a draft without becoming accountable for its truth or business effect. Make clear who checks consequential claims and who can approve publication or action.
Worked example
Illustrative scenario; not a claim of measured client results.
For a marketing workflow, a model may draft an article, an editor may verify claims and a business owner may approve project references. The workflow should preserve those responsibilities rather than treating a generated draft as ready to publish. If a source is outdated, identify who updates it and which previously generated material needs review.
Checks, limitations and next decisions
When an error occurs, investigate the process instead of attributing responsibility to the model as if it were a staff member. Was the required review defined, possible and completed? Did the user have the evidence needed? Record corrections and update the workflow. Clear ownership improves both quality and recovery because people know which part of the system they are expected to maintain.
A practical starting point
Work through these checks in order. Use the results to decide what needs to change in your own workflow.
- Name the business owner of the workflow.
- Assign technical responsibility for availability and changes.
- Identify who approves outputs and resolves disputed cases.
A mistake to avoid
Do not let unclear ownership turn model output into an automatic organizational decision.
How to check progress
Review unresolved exceptions and the time taken to reach an accountable decision.
Your action checklist
Use this checklist while reviewing your own setup. Checkmarks are temporary and stay in this open page.
For the wider decision process, read Choosing the first AI workflow to pilot.
Further reading
Official background resources for this topic. The workflow above is general guidance, not a guarantee of a particular result.
AI-assisted editorial content. Examples are illustrative, not client case studies. Read our editorial policy or report a correction.