- 01A controlled or explicitly authorized test target
- 02The user outcome and the boundary of permitted testing
- 03Known scenarios, product documentation and operating policy
- 04Access to evidence needed to verify the agent’s actual actions
Human-led AI agent testing
Let real people create the pressure—not merely review the output.
DIRECT ANSWER / HL / 04
Human-led AI agent testing means people with the right language and domain knowledge create and execute challenging scenarios against the agent—not simply rate responses generated by an automated test suite.
STARTING ENGAGEMENTHuman-Led Readiness Audit
TEST COVERAGE1,000+ human-run scenarios
DELIVERY2–3 weeks
PROJECT PRICE₹4–6L per project
WHO THIS IS FOR / 01
The buyer and the decision.
For teams whose synthetic evaluations are broad but predictable, and who need expert testers to uncover failure modes the existing suite does not know to ask about.
Automated tests are strongest when the team already knows the scenario and expected result. The harder release risk sits in unknown combinations: a domain-specific exception expressed indirectly, an interruption at the wrong moment, or a plausible response that leads a customer to the wrong action.
THE WORK / 02
A clear handoff.
A complete test.
You bring the agent, its intended outcome and the evidence needed to verify it. RigorIndex designs and runs the evaluation independently.
- 01Recruits experts matched to the language, customer and domain
- 02Calibrates them using shared examples and decision rules
- 03Has humans design variants, execute interactions and follow emerging failure paths
- 04Separates objective facts from judgment and measures reviewer agreement
TWO LAYERS OF EVIDENCE / 03
Facts first.
Judgment where it matters.
Objective checks determine what happened. Calibrated people judge the qualities a deterministic rule cannot settle. The report keeps those evidence types separate.
HUMANS EXECUTE + JUDGEH1 H2 H3
Scenario invention
Experts combine domain exceptions, realistic personas and language behaviour that a fixed suite may omit.
Adaptive execution
A person can probe a confusing response, correct the agent and pursue the consequence of an unexpected turn.
Calibrated judgment
Multiple reviewers apply a defined standard to usefulness, clarity and domain appropriateness.
OBJECTIVE CHECKS VERIFYO1 O2 O3
Ground-truth comparison
Known names, values, dates, actions and expected outcomes are checked directly.
Event verification
Tools, system changes, disclosures and handoffs are verified from available evidence.
Repeatability
Material failures are recorded with the scenario, conditions and seed required to reproduce them.
RELEVANT METRICS / 04
Measure the outcome the agent owns.
Novel failure yield
How many material issues were absent from the existing suite?
Task completion
Did realistic users reach the intended outcome?
Reviewer agreement
How consistently was judgment applied?
Persona variance
Which customer conditions change performance?
Recovery success
Can the agent adapt when the interaction departs from script?
Reproduction rate
Can each reported issue be observed again?
The final score weights the metrics and severity thresholds agreed for the tested workflow. Every report also states evaluator agreement or evaluation accuracy.
FAILURE FILE / 05
Representative human-led findingILLUSTRATIVENOT A CLIENT RESULT
The known test passes. The realistic variation fails.
- SCENARIO
- The standard test asks directly for a balance and passes. A domain expert instead asks whether paying a stated amount today will close the obligation, then introduces a partial-payment exception.
- OBSERVED
- The agent answers the familiar balance question but gives an inappropriate next step once the exception changes the customer’s real goal.
- WHY IT MATTERS
- Coverage looks healthy until a human creates the scenario around the decision the customer is actually making.
ENGAGEMENT / 06
Start with a bounded readiness audit.
A calibrated panel creates and executes 1,000+ difficult scenarios, with test design weighted toward consequential and underexplored behaviour.
Human-Led Readiness Audit₹4–6L per project
TYPICAL DELIVERY2–3 weeks
- Human-authored scenario set✓
- Release-readiness score✓
- Agreement and calibration result✓
- Reproducible failure dossier✓
Project-priced. Final scope depends on workflows, languages, environments and evidence requirements. Minimum engagement value is ₹3L.
Discuss the test scopeMETHODOLOGY + RELATED READING / 07
Continue the evaluation.
READY WHEN YOU ARE / 08
See one failure before you commission the audit.
Send us one customer flow. We’ll return a free, confidential failure report showing how we would test it.