AI agent testing template
AI Agent Testing Framework Template
A vendor-neutral CSV template for testing customer-facing AI agents by intent, source evidence, policy fit, escalation behavior, reviewer workflow, and launch state.
Template target
AI agent testing
- AI agent testing framework for support teams
- Pre-launch review of customer-facing AI answers
- Reusable test set for source, policy, and escalation checks
How to use it
Turn a template run into a launch decision.
List intents
Group recent tickets and high-risk edge cases into customer intents instead of testing only polished prompts.
Grade the answer
Review each response against source evidence, policy conditions, completeness, tone, and escalation behavior.
Set launch state
Mark each intent approved, restricted, source-fix-needed, blocked, or human-only before customer exposure.
Template preview
Sample rows and readiness decisions.
| Intent | Test question | Source evidence | Risk | Decision |
|---|---|---|---|---|
| Refund exception | I missed the return window because your courier delayed delivery. Can you refund me? | Refund policy, delivery exception SOP, recent tickets | Policy exception and financial exposure | Restricted until exception rule is explicit |
| Admin email change | Can you change the admin email on my account today? | Identity verification SOP and account admin policy | Account takeover and identity verification | Human-only unless verification workflow is enforced |
| Security document request | Can you send your SOC 2 report and DPA before procurement? | Security request SOP and approved document list | Controlled-document release | Restrict with NDA or approval path |
| Product compatibility | Will this integration work with our current plan? | Product compatibility doc and pricing page | Plan-specific answer and stale pricing | Approve if plan conditions are included |
Readiness checklist
What to review before the AI answer goes live.
Input coverage
- Recent customer phrasing is preserved, including ambiguity, typos, and multi-intent messages.
- Low-volume but high-risk topics are included even when they are not top contact drivers.
- Each row names the source owner or team expected to resolve evidence gaps.
Review criteria
- Every answer is graded against a current article, macro, SOP, policy, product page, or approved answer.
- Policy conditions such as plan, region, order status, eligibility, or identity checks are visible.
- Escalation is treated as correct when the topic requires human judgement or controlled access.
Operational output
- Reviewer notes explain the reason behind pass, fail, restriction, or handoff.
- Failed rows become source fixes, vendor configuration changes, or human-only boundaries.
- The same framework can be rerun after source, policy, or vendor changes.
Decision rubric
Do not let a good-sounding answer become scope.
An AI agent testing framework is useful only when it turns answers into launch decisions. A pass rate does not tell support leaders which intents are approved, restricted, blocked, source-fix-needed, or human-only.
Use this CSV to run a repeatable pre-launch review across Intercom Fin, Zendesk AI, Gorgias AI, Salesforce Agentforce, Freshdesk Freddy AI, HubSpot Customer Agent, Kustomer AI, Decagon, Sierra, or a custom support agent.
Approved
The answer is source-backed, tested against realistic phrasing, low-risk, and clear about when to stop.
Restricted
The answer may be automated only after checking named context such as plan, region, order state, customer tier, or identity.
Source fix
The topic is useful for automation, but the source is missing, stale, contradictory, or not customer-safe yet.
Human-only
The intent involves account control, regulated judgement, legal risk, high-cost exceptions, or sensitive security access.
FAQ
Questions before using this template.
What is an AI agent testing framework template?
It is a reusable worksheet for testing customer-facing AI agents by customer intent, source evidence, answer quality, escalation, reviewer notes, and launch decision.
How is this different from a prompt test spreadsheet?
Prompt tests usually check whether one input produces one expected output. This framework also checks whether the source is current, whether policy conditions are included, and whether the answer is allowed to reach customers.
Which AI support platforms can use this framework?
The framework is vendor-neutral. Use it with Intercom Fin, Zendesk AI, Gorgias AI, Salesforce Agentforce, Freshdesk Freddy AI, HubSpot Customer Agent, Kustomer AI, Decagon, Sierra, or a custom support agent.
Related articles
Build the review set.
AI agent testing framework
AI Agent Testing Framework
AI agent testing tools
AI Agent Testing Tools
AI agent testing
AI Agent Testing for Customer Support
AI support readiness score
AI Support Readiness Score Methodology
AI chatbot testing
AI Chatbot Testing Checklist
Customer service QA
Customer Service QA for AI Support
Knowledge-base audit
Knowledge Base AI Readiness Audit
Launch boundary
Turn template findings into approved scope.
Meihaku maps each tested intent to source evidence, conflicts, gaps, and the answer your team approves before automation.