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AI Pilot Evaluation Scorecard

Test usefulness, accuracy, exceptions, and human effort before expanding a pilot.

For: Pilot owners, evaluators, and domain specialists
Use when: Before rollout and after material changes
Suggested time: 30 minutes · Version 1.0 · October 5, 2026

Use this guide to structure a discussion, then record your answers in the editable template or printable PDF. Use synthetic or authorized information. A named person owns each decision.

1. Define the test before running it

Build a representative set across ordinary, incomplete, contradictory, out-of-scope, and failure cases. Keep expected behavior separate from the system response.

Promise
What behavior must the product demonstrate?
Expected behavior
What should happen for this case?
Test coverage
What cases could expose an important weakness?
Reviewer and evidence
Who checks the result, and what will they inspect?
See a completed companion example

Illustrative responses for a fictional workflow. These are planning assumptions, not client results.

Promise
Provide supported policy explanations or route the case to a person.
Expected behavior
For an individual eligibility question, withhold a decision and escalate.
Test coverage
Routine question; missing policy; stale document; conflicting passages; restricted-data request; service outage.
Reviewer and evidence
Policy specialist compares the draft to the approved source, version, and escalation rule.

2. Measure the whole workflow

Include review time and corrections. Use the same case mix and unit for baseline and pilot. A successful demonstration is not evidence of readiness for all cases.

Useful result
Did the output help the user complete the task?
Quality
Which claims were unsupported, stale, or wrong?
Human effort
How much active time was required end to end?
Exceptions
Did every defined high-consequence case reach a person?
See a completed companion example

Illustrative responses for a fictional workflow. These are planning assumptions, not client results.

Useful result
Record accepted, revised, or withheld drafts and why.
Quality
Count citations checked and claims requiring correction.
Human effort
Include search, review, edits, and exception handling.
Exceptions
Log each missed escalation as a blocking defect to investigate.

3. Decide what happens next

Declare continue, revise, expand, or stop criteria before viewing results. Re-test failed cases and relevant neighboring cases after a fix.

Continue / expand criteria
What evidence permits a larger scope?
Stop condition
What requires pausing?
Decision record
State the decision, limitations, owner, and next review.
See a completed companion example

Illustrative responses for a fictional workflow. These are planning assumptions, not client results.

Continue / expand criteria
Illustrative: supported answers on routine cases, all defined escalations handled, and lower total active handling time.
Stop condition
Any unauthorized action, restricted-data exposure, or missed eligibility escalation.
Decision record
Revise contradictory-source handling before another synthetic run.

Record the next decision.

What will you do next, who owns it, and when will you review the evidence? Keep unresolved assumptions visible.

Continue with these tools.

By Vic Akosile · Built Into Work. Use and adapt for your own work or your team’s work; credit the source when sharing adaptations. These tools are discussion aids, not validated assessments. Fictional examples and proposed targets do not establish readiness for real use.