30% reduction in no-show rate. 92% appointment fill rate. 15+ hours of front-desk time reclaimed every week.
Your front desk is the bottleneck of your entire practice. Two coordinators juggle 40-50 appointments per day across three providers, answering phones, checking patients in, managing insurance questions, and somehow keeping the schedule running on time. When a patient cancels at 2 PM, the 3 PM waitlisted patient never hears about it because nobody has time to make the call. That slot goes to waste — $200-$350 in lost revenue, repeated 15-25 times per month.
No-shows are at most practices run 18-25%, and generic text reminders barely move the needle. A message that says "Reminder: you have an appointment tomorrow at 10 AM" does not help the patient who forgot the appointment was for their annual physical and needs to fast, or needs to bring insurance cards, or needs to arrange childcare. Context-free reminders create anxiety, not attendance.
The scheduling complexity compounds across providers. Dr. Patel runs 20-minute follow-ups and 40-minute new patients; Dr. Kim does 30-minute chronic care visits that require a specific exam room with an EKG machine. Dr. Santos blocks Thursday afternoons for procedures. Insurance-specific rules add another layer; some HMOs require referral verification before booking. Medicare wellness visits have annual eligibility windows, and certain procedures need prior authorization confirmed before the appointment. Get miscoded and cascading through to the entire afternoon.
Grace is your AI Patient Services Coordinator. She routinely schedules at 6:30 AM, sends personalized reminders with visit-specific instructions, flags no-show-risk patients for human review, and works the waitlist in real time. When a patient cancels their 2 PM slot, Grace identifies three waitlisted patients who match the provider, appointment type, and insurance requirements, sends the SMS, and books the first one who confirms — all before your front-desk staff finish their morning coffee.
Each step is automated. Grace only escalates when human judgment is required.
Grace consolidates the next day’s appointments across all providers, confirms insurance eligibility for each patient via 270/271 transactions, identifies care gaps (overdue labs, missing prep), and flags appointments requiring special preparation (pre-auth confirmation, fasting labs, equipment).
Grace sends personalized, HIPAA-compliant reminders via SMS or voice that include visit-specific instructions: parking details for new patients, fasting requirements for lab appointments, medication-list prompts for chronic-care visits, and one-tap reschedule/confirm links.
Grace identifies high-risk patients using 12-month attendance history, sends an additional personal reminder, places waitlisted patients on standby for that slot, and alerts front-desk staff to prepare for a potential gap.
Grace instantly works the waitlist: filters for patients matching the provider, visit type, and insurance, and sends time-sensitive SMS offers with a one-tap confirmation. First confirmed patient is auto-booked and receives visit-preparation instructions.
Grace sends a courtesy SMS asking if the patient is en route and whether they need to reschedule, simultaneously alerting front-desk to the potential gap and queuing a waitlist standby notification.
Grace generates a scheduling performance report: no-show rate by provider, cancellation fill rate, average time-to-fill from waitlist, revenue recovered from filled slots, and patients overdue for preventive care — delivered to the practice manager via Slack.
Clear boundaries. Grace works autonomously within defined limits and escalates everything else.
Grace connects to the platforms you already use. No new software to learn.
Grace is deployed gradually, with measurable checkpoints at every stage.
Shadow/monitoring mode first, then a gradual rollout.
Pilot begins with a single provider's schedule. Grace runs in shadow mode, drafting reminders and waitlist matches for front-desk review, with full validation of no-show predictions and booking accuracy before autonomous deployment.
These AI employees share data and coordinate with Grace to cover your full healthcare operation.
Start with a 90-minute discovery session. We evaluate whether Grace is the right fit for your workflows and show you exactly what changes.