Preparing the Havio workflow view
Preparing the Havio workflow view
Workflow evidence model: a practical operating example for evaluating the call path before launch, including summaries, handoff rules, fallback behavior, and the review loop that keeps the agent inside approved boundaries.
A multi-location dental group with a centralized booking team can quickly outgrow voicemail-to-callback coverage, especially on Mondays and after holidays. The workflow problem is simple: callers need location-aware scheduling, but the central team cannot answer every routine booking call in real time.
Hiring location-specific receptionists is often too expensive, while adding central staff still leaves after-hours and overflow gaps. The safer starting point is one controlled booking workflow with clear handoff rules.
After launch, the review loop should watch failed bookings, low-confidence intents, recall-reminder requests, non-French callers, and clinic-specific routing mistakes. Usage and overage rules should be reviewed before expanding coverage.
Book a demo to walk through the deployment plan for French-language healthcare.
Workflow focus
Scheduling
booking workflow
Stack: Havio / Doctolib / Internal scheduling
Expected operational change
This illustrative workflow shows how a French-language Havio agent could connect clinic selection, Doctolib availability, internal scheduling context, and human fallback so callers can reach a booking path where scheduling rules allow.
Booking path designed to support faster scheduling
Evidence inspector
Output to inspect
The operational artifact should help the central team see what happened, which clinic is involved, and whether a human still needs to act.
Caller: new or existing patient, callback number, preferred language
Clinic: requested location, appointment type, preferred time
Outcome: slot requested, booked where supported, callback needed, transferred
Boundary: urgent symptom, clinical question, payment dispute, non-standard request
Evidence review brief ready to copy.
Use these checks to confirm the workflow is producing reviewable, useful outputs before expanding call volume.
Booking path
Same-call path
Routine appointment demand moves toward a confirmed slot or structured callback instead of a voicemail backlog.
Clinic routing
Location
The caller chooses the clinic before availability, rules, and handoff are applied.
Safety
No advice
Clinical, urgent, or sensitive calls use human fallback rather than medical guidance.
For this workflow, review the operating artifacts that show whether the agent can answer, route, and hand off safely before it handles more callers.
Call-summary artifact
Expected fields include: Caller: new or existing patient, callback number, preferred language; Clinic: requested location, appointment type, preferred time; Outcome: slot requested, booked where supported, callback needed, transferred.
Fallback and transfer log
Inspect which calls transferred, which failed, which became callbacks, and who owned each unresolved caller.
Approved knowledge boundary
Confirm what the agent may answer, what it must refuse, and when it creates a human follow-up instead of guessing.
Pilot expansion gate
Use the rollout sequence through "After pilot: expand to additional clinics only when routing and fallback quality are stable." before expanding.
The operational artifact should help the central team see what happened, which clinic is involved, and whether a human still needs to act.
Bring call volume, staffed hours, current phone setup, and the workflow you want to improve first.
Workflow-fit review
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