# 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.

Source: https://www.agentclash.dev/industries/banking
Markdown export: https://www.agentclash.dev/md/industries/banking

## What banking eval should prove

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

## Banking eval workflow

### 1. Import the evidence

Start from OpenTelemetry traces, curated datasets, support transcripts, or a real failure your team already saw.

### 2. Pin the baseline

Record the current accepted behavior so every prompt, model, RAG, or tool change has a fair comparison point.

### 3. Replay the evidence

Inspect tool calls, outputs, artifacts, latency, cost, and judge evidence when a candidate gets worse.

### 4. Gate the release

Compare candidate and baseline runs, then fail CI before a regression reaches users.

## Encode regulated workflows as packs

Turn escaped incidents and approval flows into challenge packs, then gate releases when scorecards regress.

- [Agent evals](https://www.agentclash.dev/agent-evals): Real-task agent evals with replay evidence and CI gates.
- [LLM agent evaluation](https://www.agentclash.dev/llm-agent-evaluation): Evaluate LLM agents on full trajectories, not one-shot answers.
- [Compare tools](https://www.agentclash.dev/compare): See how AgentClash differs from prompt-eval platforms.
- [Enterprise pilot](https://www.agentclash.dev/enterprise): Start a governed eval program with replay and gates.
- [Support agent evaluation](https://www.agentclash.dev/use-cases/support-agent-evaluation): Evaluate service workflows with policy checks and replay.
- [Release gate glossary](https://www.agentclash.dev/glossary/release-gate): What a release gate means in AgentClash.
- [Datasets overview](https://www.agentclash.dev/docs/guides/datasets-overview): Import examples, record baselines, sync regression suites, and gate CI.
- [Dataset CI gates](https://www.agentclash.dev/docs/guides/dataset-ci-gates): Fail builds when a candidate regresses against a pinned baseline.
- [CI/CD agent gates](https://www.agentclash.dev/docs/guides/ci-cd-agent-gates): Block pull requests when agent behavior gets worse.

## 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.