Trust

Voice AI for teams that need confidence before they deploy.

Jayna is built around explicit call behavior: what the agent must disclose, what it must collect, where it can use business data, and when it must involve a human.

Disclosure

AI notice and recording consent

Configure the required first-call notices so callers understand they are speaking with an AI assistant and whether recording applies.

Boundaries

Configured knowledge limits

Give Jayna stable answers and explicit limits. If the caller needs something outside scope, the agent can acknowledge that and transfer or capture a callback.

Handoff

Human escalation is a product feature

Set transfer rules for urgent symptoms, angry callers, sensitive questions, failed verification, or any workflow branch where a person should step in.

Auditability

Every call should be explainable after it ends.

The operating goal is not just a recording. It is a structured timeline of what happened: notices, consent, collected fields, checks, branches, and handoff reasons.

Consent gateAI disclosure and recording notice completed.
Appointment requestCaller provided requested date, appointment type, and contact details.
Business rule appliedUrgency did not require transfer.
Structured summaryJayna read back next steps and stored the outcome.

Careful claims, real direction.

Jayna is designed for regulated and trust-sensitive workflows. Formal certifications, BAAs, and compliance programs should be evaluated for each customer deployment.

Designed for compliance workflows

Disclosure, consent, routing, handoff, and audit behavior are product concepts, not afterthoughts.

Designed for review

Operators can test calls and inspect outcomes before the workflow goes live.

Designed for data discipline

Structured fields, sources, and checks help keep business facts separate from loose conversation.