Customer Support AI Agent Testing — 221 Scenarios
Evaluate AI support agents on escalation handling, SLA compliance, multi-channel handoffs, angry customer de-escalation, refund authorization, and compliance-sensitive complaint routing.
AI agents in the customer supportindustry handle some of the most consequential conversations in business. A wrong answer doesn't just frustrate a user — it can trigger compliance violations, financial losses, legal liability, or irreversible damage to customer relationships. Testing these agents with generic prompts misses the edge cases that matter most.
Agent Scrimmage evaluates customer support AI agents with scenarios grounded in real industry workflows, real regulations, and real failure patterns. Every scenario includes specific success criteria and failure indicators so scoring is objective, not subjective. The scenarios cover routine tasks, complex multi-step workflows, compliance-sensitive situations, and adversarial attempts to manipulate the agent.
Whether you're building a customer-facing chatbot, an internal workflow agent, or a hybrid that does both, Agent Scrimmage tells you exactly where it breaks — and generates the training assets to fix it.
What We Test in Customer Support
quality assurance and csat
6 scenariosoutage and incident communication
6 scenariossystem configuration
4 scenariosescalation with context
5 scenarioscross team coordination
6 scenariosangry customer deescalation
10 scenariosde escalation
4 scenariosdiagnose and fix
5 scenariostechnical troubleshooting
8 scenariosescalation and routing
10 scenariosinternal tooling
6 scenariosticket handling
4 scenariosaccount operations
4 scenariosticket management
4 scenariosrefund and billing disputes
10 scenariosworkflow automation
4 scenariosadversarial and manipulation
9 scenariosconsult then implement
5 scenariosreporting
4 scenarioscompliance and data privacy
7 scenariosagent coaching and qa
4 scenariosmulti step resolution
5 scenariosaccount access and security
9 scenariosvip and retention
8 scenariospolicy interpretation
8 scenariosmulti channel handoff
8 scenariossla compliance
8 scenariosinternational and localization
4 scenariostroubleshooting
4 scenariosproactive outreach
6 scenarioscomplex situations
3 scenariosknowledge boundary
4 scenariosonboarding and first contact
13 scenariosb2b enterprise support
6 scenariosfeedback and nps
6 scenariosself service deflection
4 scenariosExample Scenario
A customer is contacting support for the third time about the same unresolved issue and is considering canceling their subscription.
Coverage Stats
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Request a DemoRelated Industries
E-commerce
Test AI agents handling returns, fraud detection, order tracking, subscription management, shipping disputes, payment failures, and adversarial attacks like wardrobing and chargeback fraud.
SaaS
Stress-test SaaS AI agents on user onboarding, billing disputes, API troubleshooting, feature request triage, account cancellation retention, and permission escalation edge cases.
Insurance
Evaluate insurance AI agents on claims intake, underwriting rule validation, policy compliance, fraud red-flag detection, and regulatory disclosure requirements.