Quality on the actual call
Evaluate the audio your callers hear, the details the system captures and the action it completes. Native 8 kHz phone audio is available in Omni; use the supported audio format for each product.
PyAI Trace
Open the existing product experience, choose the matching settings and evaluate your actual words or recording.
Call quality assurance reviews conversations against service standards and policy criteria. AI call QA can highlight relevant evidence and scorecard items so a reviewer can inspect the underlying conversation.
Review call evidence, quality findings and redactions with a consistent scorecard and a human review path. Trace supports evidence review and compliance workflows. A scorecard does not certify legal compliance; evaluate policies, recording consent, access and retention for your own operation.
Evaluate the audio your callers hear, the details the system captures and the action it completes. Native 8 kHz phone audio is available in Omni; use the supported audio format for each product.
Hear and Speak offer OpenAI-compatible speech endpoints. Omni uses the realtime PyAI SDK. Pair the conversation with AMD, Trace, Recap and managed telephony where your workflow needs them.
Review the product meter, sandbox limits and managed telephony terms on the pricing page. Cloning enrollment and prompt-to-voice design are free; generated speech follows synthesis billing.
Define the service criteria and policies your team needs to review.
Connect the call transcript and evidence to Trace with the appropriate access and retention settings.
Inspect cited findings against the conversation and route uncertain or sensitive cases to a reviewer.
Listen to stock voices before choosing the voice for your workflow. A language label does not promise every regional accent. For generated speech, you can also enroll a voice you have permission to use or design a voice from a prompt. Verify language and product compatibility before using the result.
Listen to the voice directoryPreserve the words, corrections and outcome a reviewer needs to understand what happened.
Turn the conversation into useful context for the next team member.
When comparing voice platforms, inspect what their call evidence actually contains: transcript, tool events, finding citations and the review workflow.
Read the comparison and migration guidanceCall quality assurance reviews conversations against service standards and policy criteria. AI call QA can highlight relevant evidence and scorecard items so a reviewer can inspect the underlying conversation.
Trace supports evidence review and compliance workflows. A scorecard does not certify legal compliance; evaluate policies, recording consent, access and retention for your own operation.
Define the service criteria and policies your team needs to review. Connect the call transcript and evidence to Trace with the appropriate access and retention settings. Inspect cited findings against the conversation and route uncertain or sensitive cases to a reviewer.
PyAI offers sandbox testing with limits. Live usage follows the product's billing terms; see https://pyai.com/pricing for current rates, inclusions and managed telephony charges. Free testing does not mean unlimited free production usage.
Start with the product's documented API and integration guide. Omni uses the PyAI realtime SDK; an OpenAI-compatible speech endpoint does not make every realtime or workflow API interchangeable.
Test representative names, dates, amounts, audio conditions and corrections. For agents, include business-tool failures and handoff to a person; inspect the observed outcome, not just a transcript.
Speak supports stock, cloned and prompt-designed voices. Cloning enrollment and voice design are free; synthesis follows the current billing terms. Use a voice you have permission to reproduce and verify its intended language and product compatibility.