AI Voice Agent · anonymized delivery pattern
Burnaby, British Columbia
An appointment-assistant pattern for a chiropractic clinic
A representative call-handling workflow that captures a minimum administrative brief, offers approved appointment options, and keeps staff in control of confirmation and escalation.

Context
A small clinic wanted a more consistent answer for routine inbound calls while preserving the familiar, person-led experience patients expect from the front desk.
The operating challenge
Calls regularly mixed scheduling questions with requests that should not be handled by automation. The useful boundary was administrative: availability, callback details, new-patient logistics, and staff handoff—not health guidance.
Delivery pattern
- 1Define permitted administrative intents, approved wording, appointment rules, escalation triggers, and a clear assistant disclosure.
- 2Connect only the scheduling and CRM actions that can be confirmed by the caller and reviewed by authorized clinic staff.
- 3Pilot with bounded traffic, review call summaries and failure cases, and tune the human handoff before wider use.
- 4Establish ownership for calendar changes, knowledge updates, quality checks, and a rapid off-switch.
How progress would be measured
Evidence before wider rollout
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Explore the supporting work
AI Voice Agent
Deploy natural voice agents for inbound calls, qualification, booking, support, dispatch, and structured follow-up with reliable human handoff.
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Connect marketing, CRM, quoting, scheduling, billing, support, and analytics so revenue teams share clean lifecycle data and dependable handoffs.
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Measure groundedness, task completion, tool use, safety, latency, and cost before release, then trace and monitor quality in production.
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