Praxis Meissner

From 38% to 95% reachability — how Praxis Meissner won back patients with AI

95%reachability (from 38%)

12 hsaved per week

0patient complaints

“I was skeptical — my patients are over 60, they don't want a robot on the phone. After 2 weeks, not a single complaint. But 4 new patients said: 'Great that you're reachable in the evenings too.'”

Dr. Sarah Meissner

Owner, 4-Therapist Practice

About the Company

Physical therapy practice with 4 therapists and 2 front desk staff. Specialized in orthopedic and neurological rehabilitation. Over 200 active patients.

Quick Jump

Challenge Solution Results

Sector

Physical Therapy

Solución

AI Phone AssistantAuto-Scheduling

Tamaño del equipo

6 employees

Challenge

The phone rings. The patient waits.

During treatments, nobody could answer the phone. The two receptionists were constantly torn between calls, scheduling, and patient check-in. During peak hours — mornings between 8 and 10, afternoons between 4 and 6 — 8 to 12 calls went unanswered daily. Each one a potential new patient.

Patients over 60 — they don't want a robot.

70% of Praxis Meissner's patients are over 55. Dr. Meissner was certain: her patients would refuse to talk to an automated system. Every attempt at digitization felt risky — losing the loyal clientele built over years.

The competition is 3 blocks away.

When a new practice opened nearby, three former patients said openly: 'We switched because you're never reachable by phone.' A sentence that kept Dr. Meissner up at night — and that sparked the decision to change.

Solution

Analysis: 2 hours, no IT required

Mandu analyzed call patterns, appointment workflows, and patient communication in a single session. No IT involvement, no software installation, no changes to existing systems — just a two-hour conversation with Dr. Meissner.

Built in 11 days — practice kept running

The AI phone assistant was trained on practice-specific terminology: manual therapy, lymphatic drainage, neurological rehabilitation. It knows each therapist's specializations, understands insurance distinctions, and books appointments directly into the existing Doctolib calendar. The practice ran normally throughout.

Natural conversations — no robot

The assistant speaks in a natural, warm voice. It greets regular patients by name, distinguishes between private and public insurance, gives realistic wait time estimates, and forwards genuine emergencies — like acute pain cases — directly to the practice.

Results

Not a single patient complained

After 2 weeks: zero complaints. Four new patients specifically praised evening availability. Dr. Meissner's biggest fear — skepticism from elderly patients — proved completely unfounded. Patients calling evenings or weekends received an immediate response for the first time instead of voicemail.

Front desk team finally relieved

The two receptionists now focus on check-in, insurance questions, and personal care — instead of constant phone interruptions. Both said independently: 'Finally we can do our job properly.' Scheduling errors dropped noticeably.

95%

reachability (from 38%)

12 h

saved per week

patient complaints after switch

Sound like your situation?

In a short conversation, we look at where you're losing the most time — and whether a solution makes sense.

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