AI for executives: decide whether your pilot deserves to grow
Contents
Should this pilot grow?
Evidence before expansion.
A team shows you an AI assistant that turns a messy project update into a crisp briefing. The demo takes thirty seconds. You approve a wider rollout. What you did not see was the twenty minutes someone spent fixing the source packet, the missing customer exception, or the manager who now checks every sentence. A good demo can be a useful starting point. It is a poor investment decision on its own. For executives, the useful question is specific: does this workflow produce acceptable work with less total effort, within boundaries we can actually maintain? The decision sheet below gives you a way to answer it before adding more users, sources or autonomy.
- Define one recurring deliverable and the person who accepts it.
- Measure evidence preparation, drafting, review and correction rather than draft speed alone.
- Keep unacceptable failures visible instead of averaging them into a quality score.
- Use observed results to expand a bounded scope, narrow the workflow or stop it.
Choose the unit of work before the tool
“Use AI across the company” is too broad to evaluate. Choose a recurring deliverable with a recognisable finish: prepare an internal account briefing, find the current onboarding policy, or draft a weekly project summary for an authorised reviewer.
Write the finish line in ordinary language. For an account briefing, that might be: the account owner receives a summary that distinguishes confirmed commitments from open questions, points to the underlying records, and does not include material they lack permission to see. Fluent prose alone does not meet that definition.
Then name the person who accepts the work. Their time belongs in the pilot budget. An assistant that moves effort from a junior colleague to a scarce senior reviewer may save drafting time while making the operation slower.
Choose a task where mistakes can be noticed before they create a commitment. An internal draft with a responsible reviewer is a different proposition from an agent changing a customer record or sending a contract amendment. Additional action authority should be a separate decision, with separate tests.
Ask for a baseline, including the unpleasant bits
Record how the task works today on a small, deliberately varied set of permitted cases. Include routine work, an incomplete source packet and a case that requires clarification. This is a practical starting sample, not a statistically reliable estimate of all future performance.
Track the time spent finding evidence, drafting, checking and correcting the work. Count failed or abandoned attempts too. If the comparison excludes awkward cases, the pilot inherits a flattering baseline.
Define unacceptable failures before seeing the AI results. For example: inventing a customer commitment, presenting an old policy as current, revealing restricted material, or taking an unapproved external action. Let the task's consequences determine the standard; an average quality score must not hide a serious boundary failure.
NIST's Generative AI Profile, particularly MS-2.5-001 and MS-2.5-003, cautions against extrapolating from narrow anecdotal assessments and recommends checking sources and citations. A convincing demonstration is a reason to investigate, not evidence that every department can use the same setup.
Use a pilot decision sheet
This is an original editorial worksheet. It is a management aid, not a certified benchmark or a substitute for the reviews your organisation requires. Copy it into your existing planning document; the important part is answering it with observations.
Keep the evidence inspectable without turning this sheet into a new store of sensitive information. Use authorised references and have the right owner review restricted records. Do not paste credentials, private customer details or entire chat histories into a broadly shared executive report.
For a deeper treatment of who may reach which source, use the leadership guide to AI access governance. This sheet addresses whether a particular workflow is worth continuing; access design remains its own requirement.
| Field | What the executive needs to see |
|---|---|
| Work and recipient | One recurring deliverable, who needs it, and who accepts it. |
| Current process | Evidence-finding, drafting, review and correction effort for comparable cases. |
| Pilot boundary | Permitted users and sources; draft-only or approved actions; excluded cases. |
| Acceptance standard | Supported facts, acceptable uncertainty and named unacceptable failures. |
| Actual outcome | Accepted, corrected, escalated and abandoned cases, including review effort. |
| Operating cost | Tool/provider cost, setup, maintenance and the people needed to run it. |
| Unknowns | What this sample did not test: other roles, source changes, volume or new actions. |
| Decision and owner | Expand, narrow or stop; exact scope, responsible owner and next review trigger. |
Count the whole task, not just the draft
Imagine a fictional operations pilot preparing account briefings. These numbers are invented to demonstrate the calculation; they are not a HeyBrain customer result or a productivity prediction.
For ten comparable briefings, the existing process takes 20 minutes each: 200 minutes in total. The pilot takes 6 minutes per draft and 12 minutes per review: 180 minutes. Two briefings need another 15 minutes of correction each. Total pilot effort is 210 minutes.
The drafts looked faster, but this illustrative batch used ten more minutes of staff time before counting setup, maintenance or tool charges. The correct next question is what caused the correction work. Perhaps evidence preparation is the bottleneck. Perhaps the task needs an experienced reviewer regardless of who drafts it. Perhaps this workflow is not a useful first application.
A compact calculation is: baseline task effort minus pilot preparation, drafting, review, correction and ongoing operating effort. Keep setup effort and direct charges visible alongside it. Time released is not automatically cash saved: a person may use it for other work, and a small sample should not be multiplied into an annual savings claim without further evidence.
A slower workflow can still be worth retaining if it achieves a separately measured benefit, such as more complete briefings. Make that tradeoff explicit. Avoid changing the success criterion after disappointing results merely to call the pilot a win.
Expand, narrow or stop
Expand when acceptable work and manageable operating effort are observed within the tested scope. Expand one dimension at a time where practical: a new team, an additional source, or higher volume. More autonomy is not a routine extension of drafting. Record what the next stage must establish.
Narrow when a specific class of work succeeds and another does not. An assistant might prepare routine summaries well but struggle with exceptions. Keep the useful class, route exceptions to a person, and test whether the routing itself works. The narrower workflow can be a valuable outcome.
Stop when the task lacks reliable evidence, requires more review than the organisation can sustain, or produces a failure the current controls cannot contain. Retain the findings and close down the pilot's access and resources through your normal authorised process. A stopped experiment that identifies an unsuitable task is useful information.
NIST's profile also recommends defining human oversight responsibilities and maintaining ways to deactivate systems (GV-1.6-003 and GV-1.7-001). Name the operating owner before expansion, including who can pause the workflow and who handles corrections. A sponsor is not automatically the person available to do that work every day.
Bring one decision to the next leadership meeting
Ask the pilot owner to bring one completed sheet and a small set of permitted examples: an accepted result, a corrected result and a case the system could not finish. If one category has not occurred, say so rather than manufacture an example.
Decide the exact next scope, the evidence still missing, and the trigger for revisiting the decision. A source change, a new user role, an incident or a material increase in volume can matter more than an arbitrary calendar milestone.
If the immediate problem is agreeing on what goes into a briefing, the context-engineering worksheet can help specify the evidence packet. If colleagues receive contradictory answers, use the answer-comparison worksheet to investigate that separate problem.
Your next useful step is small: choose one recurring task, define acceptable work, and count all the effort needed to get it there. That gives the executive team a decision it can defend when the excitement of the demo has worn off.
Prepared by HeyBrain Editorial Team with AI assistance, primary-source research and independent editorial review. The worksheet and worked example are editorial tools; no customer experiment or measured product result is claimed. Source consulted October 5, 2026.
