Case study · Healthcare Clinic

Appointment bookings automated — staff hours cut by 60%

A multi-location outpatient clinic was drowning in phone bookings, no-shows and insurance-verification calls. Thinkly deployed an AI voice agent and workflow automation that now handles the full booking journey end-to-end — freeing 60% of front-desk hours for actual patient care.

Healthcare clinic reception with staff on the phone
85%
Reduction in manual admin
3x
More appointments monthly
60%
Front-desk hours reclaimed
< 30s
Average booking time

The problem

The clinic's three receptionists spent 5–6 hours a day on the phone handling appointment requests, cancellations, insurance-eligibility questions and reminder callbacks — leaving little time for in-person patients.

After-hours calls went to voicemail and were rarely returned in time, driving a 22% weekly lead-leak to competing clinics with online booking.

The existing EMR had a booking widget, but patients over 55 (their core demographic) consistently abandoned it and phoned in instead.

What we built

Thinkly built a natural-sounding AI voice agent that answers every inbound call 24/7, verifies patient identity, checks provider availability in the EMR, offers real time-slots and books the appointment while the caller is still on the line.

A companion workflow automation checks insurance eligibility against the payer API in the background, sends a confirmation SMS + email, and schedules two automated reminder touchpoints (24 hours and 2 hours pre-visit).

For no-shows, an automated recovery loop offers the next open slot in the same clinician's calendar within 15 minutes — recovering visits that used to fall off completely.

Every interaction is logged to the EMR with a full transcript so front-desk staff have a clean audit trail without any manual note-taking.

The results

Services delivered

Thinkly's AI handles our entire booking flow. Our staff now focuses on patient care, not paperwork.
Dr. Sara Ahmed, Operations Director
Results disclaimer. Case-study figures describe outcomes for this specific client under specific conditions. Your results depend on your data, team, market and execution and may differ materially. See our about page and editorial policy for details.

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