Use Case — Fintech

Catch the wrong transaction before it settles, not after a dispute.

An agent that gives wrong financial advice, approves a transaction it shouldn't, or misquotes a rate doesn't throw an error. It completes successfully and is wrong. Here's how Zespan catches it and stops it recurring.

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The problem

01

A wrong transaction looks identical to a right one

An agent that approves a transfer outside policy, applies the wrong interest rate, or misreads an account limit completes the request successfully. There's no error to alert on — only the downstream dispute or reconciliation break.

02

Compliance needs evidence, not a trace log

When a regulator or internal audit asks what the agent was authorized to do and who approved a specific decision, a raw trace log showing an API call succeeded isn't an answer. You need a record that names who is accountable.

03

One prompt gap repeats across every similar request

A missing constraint in a lending or advisory prompt doesn't cause one bad decision. It causes the same bad decision every time a similar request comes in, until someone notices the pattern from a support escalation or a chargeback.

How Zespan helps

1

Every agent decision is traced and checked against policy

Every trace — a rate quote, a transfer approval, an advisory response — is evaluated against rules written for your actual policy, not a generic safety rubric. A wrong decision is flagged even though the request completed with no technical error.

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Zespan trace explorer showing agent decisions with policy evaluation status per trace
2

Repeated failures group into one issue with a root cause

If the same prompt gap produces the same wrong rate or wrong approval across dozens of conversations, Zespan groups them as one issue with an AI-written root cause, instead of a hundred individual alerts to triage by hand.

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Zespan incident view showing failures grouped by root cause with occurrence count
3

Turn the failure into a guardrail, tested on your own traffic

Flag a failing trace and it becomes a policy rule in one action. Before it enforces anything, backtest it against your own past traffic to see what it would have caught and what it would have wrongly blocked — critical in fintech, where a rule tuned too broadly can block legitimate transactions.

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Zespan guardrail backtest showing catch rate and false-positive rate against historical traffic
4

High-value actions hold for a named approver

A transaction or approval above a defined threshold pauses instead of executing automatically. A named reviewer decides, and the decision — approved or rejected, with a reason — is recorded against them, not the agent.

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Zespan approval hold showing a transaction paused for review with reviewer and threshold detail
5

Export the audit trail mapped to your compliance controls

Every blocked action, approval, and decision is recorded with the actor type — person, API key, or system — and exportable as evidence for a SOC 2 or internal audit review, not reconstructed from logs after the fact.

Start free — 50K traces/month, no card needed

See every agent decision, tool call, and handoff in production. Setup takes a few minutes.

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