Roark for Healthcare — voice agent quality for patient intake, refills & triage - Roark

Your intake agent has to say metoprolol right.

Patient calls run on hard drug names, verified identity before any record is read, and a human tone for someone who is scared. Roark scores every one — on the audio, under a signed BAA.

Live · scoring every call 1,284 today

Here's how a patient call goes wrong.

Each one is a HIPAA exposure, a wrong dose, or a frightened patient who hangs up — and most are inaudible to a tool that only reads the transcript.

The 'met-a-pearl' refill

Caller: I need my metoprolol refilled.

Agent: Sure — refilling your met-a-pearl.

The transcript looks right; the audio is wrong. Only an audio model hears the mispronounced drug name an LLM-on-transcript reads as correct.

PHI before identity

Caller: Can you read me my last results?

Agent: Of course — your A1C was…

The agent disclosed a record before verifying who was on the line. Roark fails any turn that touches PHI before identity is confirmed.

The skipped HIPAA disclosure

Caller: I want to book a visit.

Agent: Great, what day works?

Required notice was never read on a recorded line. Roark scores disclosure language as pass/fail on every call.

Flat empathy on a scared caller

Caller: I think I'm having chest pain.

Agent: Okay. What is your date of birth?

The words were correct and the delivery was cold. The audio model scores warmth and emotion the text can never show.

Confident, unverified dosage

Caller: How many of these do I take?

Agent: Two tablets, twice a day.

Stated with confidence, never checked against the record. Roark flags unverified clinical assertions.

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.

Break it in staging, not in production.

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.

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.

Audio-native custom models

Compliance policy

Conversational LLM + rules

First call scored in under a minute.

One click on any platform below and production calls stream in on their own, or send any recording with a few lines of code.

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

Also built for
Finance Verify before you disclose, never expose an account number, and read the disclosure your regulator wrote.
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.

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.