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Pilot plan

AI Proof of Concept Plan Template for Pilots

Use this AI proof of concept plan template to define pilot scope, test data, success metrics, security boundaries, reviewer workflow, timeline, decision gate, and rollout criteria.

Updated 2026-06-24Pilot planBuyer enablement page
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1

Scope and baseline

A good POC tests one workflow deeply instead of every feature shallowly.

  • Define the workflow, user group, business owner, technical owner, and decision deadline.
  • Record current baseline: volume, cost, cycle time, quality, risk, backlog, and user effort.
  • Choose representative historical examples, edge cases, and failure cases for the pilot dataset.
2

Success metrics and reviewer process

The pilot must answer whether the tool improves the workflow under real constraints.

  • Set numeric thresholds for accuracy, time saved, review effort, containment, cost, or risk reduction.
  • Define how humans review outputs, approve actions, rate quality, and capture issues.
  • Track implementation effort, integration friction, admin work, and support responsiveness.
3

Decision gate

The POC should end with a clear buy, extend, reject, or revisit decision.

  • Require a final readout with metric results, user feedback, security issues, cost estimate, and rollout plan.
  • List blockers that automatically stop the purchase, such as unacceptable data use or missing audit logs.
  • Convert the pilot results into rollout milestones and renewal review metrics if approved.

Checklist

  • The POC has one primary workflow and one named owner.
  • The test dataset includes normal cases, edge cases, and known failures.
  • Success criteria are numeric and agreed before the pilot starts.
  • Security boundaries and data handling are approved before live data is used.
  • The final decision gate includes buy, reject, extend, or redesign.

How to use this template

  1. 1Pick one workflow from the RFP and convert it into a pilot scope.
  2. 2Collect historical examples and baseline metrics before the vendor configures the tool.
  3. 3Run reviewers through the same queue they would use in production.
  4. 4Use the final metrics in the business case and vendor scorecard.

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FAQ

Questions about this AI template

How long should an AI proof of concept run?

Most AI software POCs should run 30 to 60 days, long enough to test real workflow examples, reviewer behavior, integration effort, and failure cases without turning the pilot into an open-ended implementation.

What makes an AI POC successful?

A successful AI POC proves a measurable workflow improvement, passes security review, shows acceptable user adoption, estimates total cost, and ends with a clear decision gate.