Grow2.ai builds booking daemons and recovery loops for dental and medical practices. Typical outcome: no-show rate drops from 22% to under 10%, with confirmation calls eliminated and 11+ front-desk hours saved per week. YClients-native, Bitrix24-native, GDPR-aware.
Dental and medical practices fail at one specific job repeatedly: getting patients to show up. The booking software does its job; the front desk does its job; the leak is between them — at T-72h, T-24h and T-2h, and in the four hours after a no-show. Grow2.ai builds the agent that lives in that gap.
Best fit: a 3-30 chair network running YClients or Bitrix24, with 800+ appointments per week, currently losing 15-25% of capacity to no-shows. Suburban and downtown locations have different patient mixes; the agent reflects that in cadence and tone.
Confirms, reminds, reschedules and recovers across SMS / Viber / Telegram / VOIP, talking to YClients bidirectionally.
▸ Module catalogue — for the full scope, metrics and pricing of M-02 Booking Daemon.
Auto-fills the patient record after every conversation: contact preferences, allergy notes, next-procedure intent.
▸ Module catalogue — for the full scope, metrics and pricing of M-04 CRM Scribe.
Handles inbound calls when reception is at the chair, with full transcript and CRM sync.
▸ Module catalogue — for the full scope, metrics and pricing of M-05 Voice agent.
22% → 8.1% no-show, ~280k UAH/mo recovered chair-time. 14-day pilot, 22 months in service.
YClientsBitrix24KeyCRMTwilio (SMS / Viber / VOIP)Telegram Bot APIOn something else? Grow2.ai builds the integration during the 14-day pilot — that's part of the engagement, not extra.
Yes — Grow2.ai's default integration is YClients-native and bidirectional. The daemon reads tomorrow's slate, talks to patients, and writes confirmations / cancellations / rebookings back into YClients in real time. Reception sees the same data they always saw.
Patient consent for messaging is captured at the point of booking; the agent only contacts patients who opted in. All conversation logs live in your stack (we deploy to your Postgres or your VPS), retention follows your existing patient-data policy, and the daemon refuses any request that would expose another patient's data.
Yes — and it should. Grow2.ai writes a per-location tone profile during the Day 5–6 workshop, and the cadence (T-72h / T-24h / T-2h) varies per location based on the actual demographics. Clinica Via's suburban location dropped from 28% to 9%; downtown went from 12% to 6.2%.
No-show rate halves in the first 30 days post-go-live; steady state lands at month 3. Grow2.ai measures rolling-30-day from Day 60 in the contract — that's the calibration window.
A 30-minute call to scope the workflow and the contractual KPI for dental clinics & medical practices. Grow2.ai will tell you on the call whether your number is achievable in 14 days — or not.