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Use cases · Leadership

An AI pilot with a go or no-go decision

Run a short, time-boxed AI pilot on one real workflow, with success and stop criteria agreed up front, so leadership ends it with a clear decision to scale, change or stop instead of an open-ended experiment.

Talk through this workflow Fractional Chief AI Officer

Where it starts

The trigger.

Leadership wants to try AI on a workflow but has no agreed way to judge the result.

How it runs today

  • Pilots start without a baseline, so nobody can say whether they worked.
  • Experiments drift on for months with no decision.
  • Results are judged on demos rather than real work.

The workflow

Four bounded steps.

Each step has an owner and a stop rule.

  1. 01 / Choose

    Pick one workflow with a named owner, real data and a measured baseline.

  2. 02 / Agree

    Write down the success and stop criteria, the time box and who decides.

  3. 03 / Run

    Run the pilot with the people who do the work, with a person reviewing every output.

  4. 04 / Decide

    Compare results with the baseline and record a decision to scale, change or stop.

Where people stay in control

Approval points.

  • The workflow owner reviews outputs throughout the pilot.
  • Leadership makes and records the final decision.
  • Customer or employee data is used only as the AI policy allows.

How we would measure it

Against a baseline.

Measured before and after, on the same work.

Result against the agreed baseline.

Pilots that end with a recorded decision on time.

Time from decision to production for pilots that scale.

Related

Go deeper.

ServiceFractional Chief AI OfficerWe connect AI strategy to the workflows, controls, tools, people, and measurements required to make it useful.BasicsFine-tuning vs. pre-trained modelsWhy most teams should start with a capable pre-trained model, and when fine-tuning earns its cost.GuideRun an AI pilot that ends in a decisionA four-step playbook to choose the right workflow, agree success and stop criteria up front, run a time-boxed pilot with real users and finish with a recorded decision.AnswerHow to run an AI pilotHow should a company run an AI pilot so it leads to a real decision?

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Quarterly AI usage and risk review

Each quarter, take stock of which AI tools people actually use, what data goes into them and how that matches policy, so leadership can approve, restrict or retire tools with evidence instead of guesswork.

See the workflow

An illustrative workflow pattern, not a result from a specific customer.

Bring the messy version

One workflow.
A better way to run it.

Show us the tools, the handoffs, and the part that keeps slowing your team down.

Let’s map your workflow Read our approach
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