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PyAI Solutions / Trace

Compliance and QA for
AI calls

Score every AI call with rule packs, evals, PASS/WARN/FAIL outcomes, citations, and audit hashes.
Package TraceExplore the workflow
A workflow plan

Compliance and QA for AI calls

  1. 01Choose rule packs
  2. 02Scan every call
  3. 03Package enterprise workflows

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

What you are building toward

Move from sampling calls to monitoring 100% of production interactions.

Make it work for your team

The shape of
a useful first version.

Start with a bounded job, give the product the context it needs and test the full path before extending the workflow.

  1. 01

    Choose rule packs

    Start with TCPA, HIPAA, PII, and brand-voice, then add custom policies.

  2. 02

    Scan every call

    Trace runs after calls and produces scorecards with evidence and citations.

  3. 03

    Package enterprise workflows

    Add exports, retention controls, SSO, BAA, SLA, and dedicated review flows.

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 products behind the workflow

Connected where it matters.
Yours to build around.

Explore the products that support this solution, including real demos, configurable examples and current integration guidance.

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.

Omni

The definitive all-in-one AI voice agent model. Hybrid speech-to-speech, fused LLM brain, emotion-aware voices, and tool calling.

A little more detail

Before your
first rollout.

Keep the first workflow focused. Test representative inputs, review the output and make the next step clear to your team.

Current pricing and terms All solutions
How does Trace score calls?

Every call is scored against rule packs and evals, producing PASS/WARN/FAIL outcomes with citations and audit hashes.

Which rule packs are available?

Start with TCPA, HIPAA, PII, and brand-voice, then add custom policies.

Does this replace sampling?

Yes. Trace moves review from sampling a slice of calls to monitoring 100% of production interactions.

Make this workflow your own.

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

Get API Key Talk through the setup