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Call QA
& compliance

Transcribe every call with Hear and turn on Trace to scan for compliance issues and quality signals - moving from sampling a few calls to monitoring all of them.
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Know what was said on every call.
A workflow plan

Call QA & compliance

  1. 01Transcribe everything
  2. 02Turn on Trace
  3. 03Audit and improve

Hear · Trace · Recap
An example setup to adapt to your own workflow.

What you are building toward

Turn completed calls into transcripts and reviewable policy findings.

A practical way to start

A few clear steps.
One useful workflow.

Connect the pieces for this use case, then test the full experience with the calls, recordings or text your users will bring.

  1. 01

    Transcribe everything

    Stream live or batch your recordings through Hear (batch is 50% off the realtime rate).

  2. 02

    Turn on Trace

    The compliance add-on scans calls and flags violations against your rule packs.

  3. 03

    Audit and improve

    Review flagged calls, export findings, and coach from real evidence.

A closer look at call review

From a conversation
to something reviewable.

Explore an illustrative Trace scorecard. Compare the findings and evidence you would review; this sample does not represent a live customer call.

Illustrative scorecard / Sample data

Call #4821· Outbound · appointment booking · 2m 41s
Pass
  • TCPACalling-time windowClear

    Dialed 2:14pm local, inside the permitted window.

  • TCPAIdentificationClear

    Agent identified caller and company in the first 15s.

  • PIICard dataClear

    1 card number captured and auto-redacted from the transcript.

  • Brand voiceProhibited claimsClear

    No guarantee or earnings claims detected.

1 auto-redaction Audit hash 9f2c…a71eReady the moment the call ends

Illustrative scorecard. Findings cite the rule pack and regulation; verdicts, redactions, and the tamper-evident hash are generated per call.

A sample presentation of Trace findings. Review the recording and evidence in your own workflow; a scorecard supports human review.

Explore Trace Explore Recap

The right part of the voice stack

Built around your job.
Powered by PyAI.

Explore the product behind each part of this use case, including its controls, API examples and integration requirements.

Hear

Hear - speech-to-text for real phone audio, with finals you can ship.

Trace

A scorecard on the call you already ran. Not a second QA vendor.

Recap

Call notes the moment you hang up. No bot to invite.

Before you take it further

A little more detail.
A clearer next step.

Start with a sandbox key and a representative input. Review the result before widening the workflow.

Current pricing and terms All use cases
How does PyAI support call qa & compliance?

Transcribe every call with Hear and turn on Trace to scan for compliance issues and quality signals - moving from sampling a few calls to monitoring all of them.

What does it cost to test this use case?

Sandbox keys never bill, so you can try the product before sending funded live traffic. Live usage requires available credit and uses the rates for the products in your workflow. See current pricing and account terms before a production rollout.

Can we keep our existing application?

Yes. Hear and Speak support OpenAI-compatible request shapes. Omni uses its native realtime protocol through the official SDK. You can also configure a managed Agent visually and connect the knowledge and tools your business already uses.

How do we keep the experience useful in production?

Test representative recordings or text, check the output in your own application, and keep error handling and retries visible. Hear produces transcripts, Speak produces speech, and Trace or Recap add review and summaries where they fit the workflow.

Put the idea into motion.

Sandbox keys never bill. Fund a live key when you go to production.

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