Operator Stack
Workflow Jun 11, 2026 published

AI Automation UAT Script Template

A practical user acceptance testing script for checking an AI automation before client handoff, recurring use, or template productization.

User acceptance testing is where an AI automation leaves the builder’s demo and meets the operator’s real work. A workflow can pass a technical test and still fail UAT if the user cannot understand the inputs, trust the output, recover from errors, or explain the review rule.

A short UAT script gives the operator a repeatable way to test the workflow before client handoff, recurring use, or productization. It keeps the test focused on the actual job instead of the novelty of the tool.

Define The UAT Scenario

Start with one normal scenario and one messy scenario. Do not begin with a perfect demo file only.

Capture:

  • Who will run the workflow.
  • What input they will use.
  • What output they expect.
  • What decision or handoff depends on the output.
  • What should happen when the source data is incomplete.
  • What must remain under human review.

The scenario should be written in the user’s language. If the operator calls it the “Friday client report,” use that phrase instead of a generic workflow name.

Prepare The Test Pack

Before UAT starts, create a small test pack:

Workflow:
Tester:
Reviewer:
Test date:
Normal input:
Messy input:
Expected output:
Known limits:
Stop conditions:
Rollback or manual fallback:

Store the test pack beside the source log or evidence packet. The goal is to make the test reproducible without asking the builder what they meant.

Run The Normal Case

Use a real or representative input that should pass.

Ask the tester to follow the runbook without coaching:

  • Can they find the right input?
  • Can they run the workflow without guessing?
  • Does the output arrive in the expected place?
  • Are the sections in the expected order?
  • Do numbers, names, and dates match the source?
  • Is the review rule clear?
  • Is the final output usable without heavy rewriting?

If the tester needs hidden knowledge from the builder, the workflow is not ready. Fix the runbook, prompt, input contract, or handoff package before moving on.

Run The Messy Case

The messy case proves whether the automation fails clearly.

Use one input with a known issue:

Messy inputExpected behavior
Missing required fieldStop and name the missing field.
Ambiguous source periodAsk for clarification or use the documented default.
Conflicting totalsFlag the mismatch and require review.
Unsupported claim requestRefuse the claim or label it as unverified.
Private field includedStop, remove, or route to the privacy rule.

Do not accept a workflow that hides messy input by producing a confident answer. A clear stop is better than a polished but unsupported output.

Test The Review Boundary

AI automation UAT should test the boundary between machine output and human approval.

Use these prompts during review:

  • Which parts of the output are facts from the source?
  • Which parts are model-generated wording?
  • Which parts are recommendations?
  • Which parts require a human before sending, publishing, overwriting, or spending?
  • Which data should never be pasted into the tool?
  • Which failures send the workflow back to full review?

If the tester cannot answer these questions, the workflow needs a clearer approval matrix, evidence packet, or source log.

Copy This UAT Script

Workflow name:
Business task:
Tester:
Reviewer:
Test date:

Normal case:
- Input used:
- Expected result:
- Actual result:
- Pass/fail:
- Notes:

Messy case:
- Input issue:
- Expected stop or warning:
- Actual behavior:
- Pass/fail:
- Notes:

Review boundary:
- Human approval required:
- Stop conditions triggered:
- Unsupported claims found:
- Private data found:

Handoff decision:
- Ready for client/use:
- Required fixes:
- Owner:
- Retest date:

Keep the script short enough to run in one sitting. A small automation should not need a complex test ceremony, but it does need proof that a real operator can run and review it.

Decide The Handoff Result

Use three outcomes:

ResultMeaningNext action
PassThe user can run, inspect, and recover from the workflow.Add the UAT result to the evidence packet.
Pass with fixesThe main job works, but the runbook, prompt, or output needs a small change.Fix and rerun the affected step.
FailThe tester cannot use or trust the workflow without builder support.Return to acceptance criteria and redesign the weak part.

Do not hand off a workflow that passes only because the builder explained each step live. The runbook and test evidence should carry that context.