The pattern, for healthcare
- Call type: Multilingual patient intake
- Workflow outcome: Chart + appointment in the EHR
- Evidence artifact: Signed intake pack
- Approval requirement: PHI write requires operator
Verigence handles new-patient intake, scheduling, and follow-up calls end to end. Callers are told they're speaking with an AI agent, a human approves any write to the chart, and every call produces a signed evidence pack.
Outcome focus
The pattern, for healthcare
Demo flow
Verigence does not stop at voice. The workflow, evidence trail, and operator controls are tuned for clinics that need speed without losing safety.
“Quiero una cita para mi hija, Sofía.”
Intake — new patient, es-MX
1 · Greeting and disclosure
Caller told they're speaking with an AI agent; language detected.
2 · Multilingual transcript
Original + translation captured side by side.
3 · Extract patient details
Name, DOB, reason, callback — each with a confidence score.
4 · Approval gate
Operator approves the chart write before it touches the EHR.
5 · Signed evidence pack
The whole call, replayable and tamper-evident.
Write a new patient chart to Athena EHR with the captured intake details.
Approval and proof
Any PHI write pauses for a named operator. They see exactly what will be written and to which system, then approve, edit, or escalate. The decision — and who made it — goes into the evidence pack.
How the trust model worksEvidence
Healthcare Evidence Pack
EP-2026-0517-40192 · intake
e3b0c44298fc1c149afbf4c8996fb924·27ae41e4649b934ca495991b7852b855
Tamper-evident · replayable for audit
Connectors
Each integration declares its mode. Pilot in sandbox; promote to live, where writes require approval.
Athena EHR
Synced · 2m ago
Google Calendar
Syncing · 12m ago
Twilio
Outbound only
Operator visibility
Use Verigence for new-patient intake, appointment confirmations, recall campaigns, and insurance checks while keeping every step logged for staff review.
Healthcare design partners