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.
Sandboxed real-tool execution
Head-to-head runs with fair constraints
Scorecards for correctness, cost, latency, and tool strategy
Replay trails for every important action
Challenge packs that turn failures into reusable tests
CI gates for baseline versus candidate decisions
Workflow
Insurance eval workflow
Package the task
Describe the workload as a challenge pack with inputs, tools, scoring rules, and artifacts.
Race the agents
Run every candidate against the same task with the same constraints.
Replay the evidence
Inspect tool calls, outputs, artifacts, latency, cost, and judge evidence after the run.
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.
Quickstart
Validate the CLI and get to your first runnable command.
Write a challenge pack
Turn a real task into a repeatable agent evaluation.
CI/CD agent gates
Fail a pull request when an agent regresses.
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.