Industry
Agent evaluation for banking and financial services
Banking agents touch payments, account changes, and policy-heavy workflows. AgentClash gives platform teams replay evidence and scorecards to compare candidates before a model change reaches production.
Candidate
Baseline
Control
replay timeline
ci verdict
Correctness improved, latency within budget, and required artifacts were preserved for review.
agentclash run create --follow
What banking eval should prove
Built for reviewable agent decisions
Score resolution correctness, tool discipline, artifact quality, and cost stability on workloads your compliance reviewers can replay.
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
Banking 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.
Encode regulated workflows as packs
Bring your first workload into the loop
Turn escaped incidents and approval flows into challenge packs, then gate releases when scorecards regress.
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
Start a governed eval program with replay and gates.
Support agent evaluation
Evaluate service workflows with policy checks and replay.
Release gate glossary
What a release gate means in AgentClash.
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
Banking agent evaluation FAQ
Does AgentClash certify banking compliance?
No. AgentClash provides evaluation evidence, replay, and release gates your team can use in internal approval workflows. Compliance decisions stay with your risk and legal stakeholders.
Can we evaluate agents that call internal banking APIs?
Yes. Challenge packs run agents in sandboxes with your fixtures, tool policy, and validators so candidates face the same constraints.
How do teams gate model changes in banking?
Compare candidate and baseline scorecards in CI, attach replay links to change tickets, and fail merges when correctness or policy checks regress.