Roark for Finance — voice agent quality for banking, payments & collections - Roark

Your agent read an account balance before it knew who was calling.

Every banking call rides on identity verified before account access, no account number read back on an open line, and the disclosures your examiners expect. Roark scores all of it — on the audio, on every call.

Live · scoring every call 1,284 today

Here's how a banking call goes wrong.

Each one is an account takeover, an exam finding, or a UDAAP complaint — and the worst of them are inaudible to a tool that only reads the transcript.

Balance before identity

Caller: What did my account close at this month?
Agent: Sure — you're at $4,212.08.
The agent disclosed an account balance before verifying who was on the line. Roark fails any turn that touches account data before identity is confirmed — the exact gap an account-takeover caller probes for.

The full account number read aloud

Caller: Which card is the payment going on?
Agent: The one ending — actually the full number is 4147 8392…
A full PAN spoken on a recorded line is a PCI exposure and a permanent liability in your call archive. Roark flags account-number and PII read-back as a hard fail.

The skipped mini-Miranda

Caller: Why are you calling me?
Agent: It's about your past-due balance — how much can you pay today?
The required debt-collection disclosure was never read before the agent pursued payment. Roark checks your Reg F / mini-Miranda script as pass/fail on every collections call.

The mishandled Reg E dispute

Caller: There's a charge I didn't make.
Agent: I can remove it, but you should really watch your card more carefully.
The agent both prejudged the claim and skipped the error-resolution rights the caller is owed. Roark checks the dispute script and flags blame-shifting language a transcript-only tool reads as 'resolved.'

The stressed caller, missed signal

Caller: Someone called me and I— I gave them the code they texted.
Agent: Okay. Is there anything else I can help you with today?
The caller's voice was shaking — a textbook scam-in-progress — and the agent moved on. The audio model hears the stress and confusion the transcript renders as a calm sentence, so the fraud signal never gets missed.

Roark catches every one of these — and proves the fix.

Each failure above is filed with its evidence, becomes a repeatable simulation until a candidate passes, and is verified on your next thousand live calls.

Catch

The ledger above — every failure filed live, evidence attached.

Simulate

Your fix, replayed against the exact failures above.

Review

Every change explicit and diffed — you apply it.

Verify

You ship — Roark confirms the metric moved on live calls.

Simulate before launch

Run your agent against hundreds of simulated callers (realistic personas, accents, background noise and edge cases) and get every conversation scored before a customer ever dials in.

Scenarios & personas

Hundreds of simulated callers (the angry one, the rambler, the interrupter) built from your real call types.

Regression testing

Rerun the whole suite on every change and diff it against your last green baseline, so fixing one caller never breaks another.

Post-call analysis

500+ metrics. Your models, not just an LLM.

Every production call scored as it lands: issues filed, alerts fired, dashboards and OTEL traces on tap, for voice calls and chat threads alike. And where most tools grade a transcript with an LLM, Roark runs purpose-built audio models on the call itself, measuring what your customer actually heard.

Compliance

Audio-native

Conversational

Performance

Bring a recording. We’ll score it live.

See your own agent measured on the audio it actually produced, in the demo, in real time. Stop guessing whether your voice AI works.

Code Example

import Roark from '@roarkanalytics/sdk'

const client = new Roark({ bearerToken })
await client.call.create({
  recordingUrl, startedAt,
  interfaceType: 'PHONE',
  callDirection: 'INBOUND',
  agent: { customId: 'support_v2' },
}) // scored in seconds

Node · Python, plus a REST API for CI/CD and webhooks the instant a call is scored.

Also built for

Insurance
Quote the coverage right, read every required disclosure, and never sound cold to a claimant in crisis.
Customer Support
Resolve it for real, escalate cleanly, and hear the frustration the transcript hides.
Healthcare
Say the drug name right, verify before PHI, and never sound like a robot to a scared patient.