The playbook
AI Marketing Workflows: Review Process
A useful AI marketing workflows review ends with a supported decision for each item examined. Define the evidence required before opening the report: task, input, output, review criterion. These fields give reviewers a shared basis for agreeing what is working, what needs attention, and who should act.
Put the task in context
Give AI a bounded task, accepted source material, and a clear output specification. Check facts, customer context, and proposed actions before release. Record which parts are drafts and which actions have actually executed so a fluent explanation is not mistaken for completed work.
Set the review boundary
Choose the records or journeys that matter to the current question. Include a normal case, a recently changed case, and an exception where available. This is a diagnostic sample, not a claim that every item has been checked. Record how the sample was selected and what would justify expanding it.
Use explicit review criteria
| Criterion | Review question |
|---|---|
| Specify the task accepted sources and expected output | Is the supporting task current and traceable? |
| Check factual claims brand fit and customer context | Does input support the decision being made? |
| Log material changes and evaluate useful completed work | Can the next owner verify review criterion? |
Inspect the evidence before assigning a result
For each item, compare the intended behavior with the observed behavior. Pay particular attention to judging AI output only by how polished it sounds. If it appears, record where it occurs and which assumption it contradicts. Distinguish a verified defect from an unanswered question and from a preference about how the work should look.
Where the evidence supports the known correction, test factual accuracy task completion and downstream usefulness. Give that action to an accountable owner with a description of the expected result. If you cannot yet identify the cause, assign a diagnostic action rather than prescribing a speculative repair.
Record a decision that can be acted on
| Decision | When to use it |
|---|---|
| Keep | The current state serves the intended task and the evidence is adequate. |
| Revise | A specific gap is confirmed and the proposed action addresses it. |
| Investigate | Important information is missing or conflicting. |
| Retire or combine | The item has no distinct useful purpose in the current scope. |
Verify corrections and expand selectively
Recheck the affected client or workflow record after the owner completes the action. Then inspect other items sharing the relevant cause. A shared template, process rule, or data source may justify expanding the review. Similar wording or appearance alone is a weaker reason.
Turn the review into a decision summary
Summarize the affected scope, confirmed findings, actions, and open questions. Connect the findings to accepted useful AI-assisted outputs using the same definition as the baseline. A good summary lets the responsible person decide what happens next without reading every working note.
Keep client identity and responsibilities explicit at every handoff. Reusable processes can save work, but goals, account access, and customer information remain specific to each client. Check the context before reusing a previous setup.
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