Quick answer
Start with a marketing job you can clearly describe and check, such as preparing a campaign report. Give the agent only the access that job needs. You can add more responsibility once it reliably gets the basics right.
Begin with campaign reporting
Campaign reporting is a sensible place to start because you can check the work before anyone acts on it. Give the assistant a defined set of exports and metric definitions, then ask what changed and what deserves a closer look.
The workflow should reconcile totals before interpreting them. If one platform’s export is missing, the report should show the gap. It should not fill the missing period with a plausible number or compare a partial week with a complete one.
| Stage | Allowed action | Required check |
|---|---|---|
| Collect | Read approved sources | Expected files and periods are present |
| Calculate | Use defined metrics | Totals reconcile to the inputs |
| Interpret | Propose explanations | Facts remain separate from hypotheses |
| Draft | Prepare the commentary | Sources and exceptions are visible |
| Publish | Pass to an editor | A person approves the report |
Give it less access than a human operator
A reporting task does not require permission to alter campaign budgets. Define the tools and records needed for the job, and keep write access separate from read access. If the next project involves editing records, evaluate it as a new workflow.
Instructions contained in a retrieved document should be treated as source material, not as authority to change the task. Establish what the system should do when a file contains conflicting instructions or an unexpected request.
Plan for partial failures
A task can succeed in one system and fail in another. Record each completed step so a retry does not repeat an action unnecessarily. Assign exceptions to an owner and retain enough context to resume or correct the work.
Use a time or cost limit for a run. An agent that keeps searching for a missing file should eventually stop and explain what blocked completion. More attempts are not always progress.
Measure accepted work
Track reports accepted, factual corrections, unresolved data gaps, review time and total running cost. Compare those figures with the previous routine. A high task-completion rate is not useful if completion means a report exists rather than that its figures are sound.
Our guide to how AI agents work explains the underlying distinction between predefined workflows and model-directed actions. Add flexibility only where the task benefits from it; predictable reporting steps may be better handled by ordinary automation.
Decide which actions an agent may take before adding it to an already crowded technology stack. See our guides to AI agent governance and martech stack audit.
