Industry
Agent evaluation for insurance support and compliance
Insurance agents must follow policy, escalate correctly, and leave an auditable trail. AgentClash evaluates full support trajectories and preserves replay when resolution quality or compliance signals regress.
Candidate
Baseline
Control
replay timeline
ci verdict
Correctness improved, latency within budget, and required artifacts were preserved for review.
agentclash run create --follow
Insurance eval signals
Built for reviewable agent decisions
Measure policy adherence, escalation behavior, artifact completeness, multilingual quality where needed, and whether the agent finished with a defensible resolution.
OpenTelemetry-compatible trace import
Pinned datasets and golden test cases
Baseline versus candidate regression checks
Replay trails for tool calls, outputs, and artifacts
Scorecards for correctness, cost, latency, and evidence
CI gates for prompt, model, RAG, and tool changes
Workflow
Insurance eval workflow
Import the evidence
Start from OpenTelemetry traces, curated datasets, support transcripts, or a real failure your team already saw.
Pin the baseline
Record the current accepted behavior so every prompt, model, RAG, or tool change has a fair comparison point.
Replay the evidence
Inspect tool calls, outputs, artifacts, latency, cost, and judge evidence when a candidate gets worse.
Gate the release
Compare candidate and baseline runs, then fail CI before a regression reaches users.
Start with escaped claims
Bring your first workload into the loop
Promote real claim or policy failures into challenge packs so the same mistake cannot return after a prompt or model update.
Agent evals
Real-task agent evals with replay evidence and CI gates.
LLM agent evaluation
Evaluate LLM agents on full trajectories, not one-shot answers.
Compare tools
See how AgentClash differs from prompt-eval platforms.
Enterprise pilot
Stand up governed eval for support and compliance agents.
Support agent evaluation
Use-case overview for ticket resolution eval.
Challenge pack glossary
How packs encode insurance workflows.
Datasets overview
Import examples, record baselines, sync regression suites, and gate CI.
Dataset CI gates
Fail builds when a candidate regresses against a pinned baseline.
CI/CD agent gates
Block pull requests when agent behavior gets worse.
FAQ
Insurance agent evaluation FAQ
Can AgentClash evaluate multi-turn claims conversations?
Yes. Multi-turn challenge packs support scripted, simulated, and human phases for realistic insurance support flows.
How do teams measure policy adherence?
Challenge packs encode required actions, forbidden tool use, and validator checks so scorecards reflect policy, not just friendly language.
Does AgentClash replace compliance sign-off?
No. AgentClash supplies evaluation evidence and gates. Final compliance and underwriting decisions remain with your organization.