SynthCalls
Before any update reaches your practice, Mimic runs hundreds of simulated patient conversations through the system.
These synthetic calls cover real-world scenarios your receptionist handles every day — and edge cases they rarely see.
New patient scheduling
Emergency & urgent calls
Insurance & billing questions
Hostile or frustrated callers
Multi-language conversations
After-hours routing
Complex scheduling
FAQ accuracy testing
Boundary & scope testing
Every scenario is scored. Every edge case is tested. Before it ever talks to your patients.
Scoring
Each synthetic call is evaluated by an independent AI judge across four quality dimensions.
Did the AI handle the patient's request correctly? Appointment booked, question answered, urgency escalated — the basics have to be right.
Did it stay grounded in verified facts? Hours, pricing, services, and policies are always checked against your practice's source data.
Did it use the right integrations at the right time? Calendar checks, PMS lookups, and escalation triggers are all verified.
Was the interaction natural, empathetic, and professional? Patients should feel like they're talking to a competent receptionist.
Validation Pipeline
We don't rely on a single AI model and hope for the best. Multiple validation steps ensure accuracy at every stage.
Pricing, hours, and services are always verified against your practice's source data — not generated from memory.
Safety-critical situations are always routed to humans. No exceptions.
Outputs are checked for accuracy before the patient hears them.
Quality is tracked over time, not just at launch. We catch degradation before it becomes a problem.
Monitoring
Real-time dashboards track call quality, answer rates, escalation patterns, and anomalies across every practice we serve.
When something unexpected happens, our team knows immediately — not when a patient complains.
You're not the beta tester. We catch issues before they reach your patients.
Security
HIPAA compliance is baked into our architecture — not bolted on at the end.