Quick answer
An AI pilot should end with a decision: use it, change it or stop. Pick one job, compare it with the way your team works now and count the checking time. A polished demonstration won’t tell you whether the tool makes an ordinary week easier.
Write a pilot brief that can fail
A pilot needs permission to fail. Decide what would make you adopt the tool, change the setup or walk away. “Let’s explore AI” is an invitation to keep experimenting without ever making that decision.
For a campaign-brief assistant, the output might need to preserve every mandatory product qualification and identify missing evidence. Set those requirements before reviewing results. Moving the threshold after seeing a polished draft makes the exercise hard to trust.
| Element | Record before starting | Evidence at the end |
|---|---|---|
| Task | One repeatable workflow | Completed examples |
| Baseline | Current time and quality | A like-for-like comparison |
| Test set | Typical and difficult inputs | Results for each type |
| Quality gate | Errors that make output unusable | Passes, failures and reasons |
| Cost | Seats, usage and staff time | Cost per accepted result |
| Ownership | Who approves and maintains it | A rollout or stop decision |
Include the awkward cases
Use examples with incomplete facts, conflicting source documents and an unavailable answer. Include a task the current process handles well, so the pilot is not judged only against an unusually difficult baseline.
Keep some cases aside while instructions are being refined, then use them for the final evaluation. Repeatedly adjusting the workflow to the same examples can make a demonstration look stronger than its real performance.
Count the work after generation
Measure source preparation, generation, editorial verification and correction. Record the reason for each rejected result. A tool that produces twice as many drafts may still increase the editor’s workload if the drafts contain subtle errors.
For example, if preparing and checking a brief takes longer with the assistant than without it, faster generation has not yet delivered a time saving. Investigate whether the problem is the source material, the instructions or the suitability of the task.
Expand in controlled stages
Begin with draft outputs that a person can inspect. Evaluate connected actions separately before allowing changes to a live campaign or customer record. Log what was requested, what the system did and any correction needed.
Retain a small set of checked cases for later model and workflow changes. Anthropic’s guidance on agentic systems also makes the case for starting with simple approaches. The pilot should establish which complexity the task actually needs.
Before scaling the pilot, calculate cost per accepted result and document the limits of any automated actions. See our guides to AI marketing ROI and AI agent governance.
