Clinics running Jafar in production.

Hôpital Fondation Adolphe de Rothschild is one of Europe's leading tertiary centers for ophthalmology, head-and-neck and neurosurgery. Their HIS — Dedalus DxCare — is deeply embedded in every clinical and administrative workflow, but exposes no third-party coding API. The medical information department was chronically behind on ICD-10 and CCAM coding, and every AI vendor they evaluated wanted a multi-quarter DxCare integration project.

Jafar bound OSPI, the specialist AI coding agent, directly to DxCare through its UI-native adapter. OSPI reads the finalized consultation and operative notes from the exact same DxCare screens the coders use, proposes ICD-10 and CCAM codes with the underlying textual evidence, and writes the retained codes back into the encounter — no export, no middleware, no change to the DxCare deployment.

In under two weeks, OSPI was live in production against DxCare. The coding backlog collapsed by more than 80%, first-pass coding accuracy improved by 18 points, and the medical information team shifted from data entry to case review and quality control.

Across multiple locations, Safad Dental Center was losing roughly one in four inbound calls at peak hours — patients hanging up before the front desk could pick up, and long call-backs that never converted. The clinics run on Dentech, a specialist dental practice management suite with no native voice channel and only a partial appointment API.

Jafar bound Reception.AI, its first proprietary agent, directly to Dentech through the Jafar layer. The receptionist answers in Arabic and English, checks live availability inside Dentech, books, reschedules and confirms — writing each action back into the same Dentech schedule the front desk uses. Anything sensitive escalates to a human within seconds.

Within the first month, every inbound call was answered, no-shows dropped by a third thanks to same-day AI reminders driven from the Dentech schedule, and the front desk was redeployed to in-clinic patient experience.

Quttainah Medical Center operates across a dozen specialties on Doctoclic, a clinic management platform that handles their schedule, patient records and billing. Booking flows differ from one specialty to another, and their front desk was struggling to keep up with multilingual inbound demand across phone, SMS and WhatsApp.

Jafar deployed Reception.AI as a single agent bound to Doctoclic. The receptionist reads live availability per practitioner and per specialty directly from Doctoclic, qualifies the request in Arabic, English or French, and writes bookings, reschedules and cancellations back into the same Doctoclic surface the human team uses.

Inbound-to-booking conversion rose by 37% and the reception team gained roughly 90 hours a week — time that went back into on-site patient experience and complex case coordination.

Kornea Casablanca is a high-volume ophthalmology center running Magica, a specialty ophthalmology software built around imaging and refractive surgery workflows — clinically strong, but with no public API for third-party voice or booking agents.

Jafar's UI-native adapter bound Reception.AI to Magica. The agent reads the live surgical and consultation schedule directly from Magica, books and reschedules patients in Arabic, French and English, and captures intake — history, current medication, prior surgeries — before the patient even sits down, writing it back into the same Magica record the ophthalmologists open.

Post-operative follow-up compliance rose by a third thanks to proactive outreach from Reception.AI, which reads the surgical schedule from Magica and calls each patient on the right day, in the right language.

Health and Beauty Cliniques generates a large share of its bookings from social channels — Instagram DMs, WhatsApp, missed calls at odd hours. The clinics run on Fresha for scheduling and clinic management, but the inbound streams around it were fragmented and leads were going cold overnight.

Jafar bound Reception.AI to Fresha and unified phone, SMS and WhatsApp behind a single agent. The receptionist qualifies each aesthetic request, offers realistic slots pulled live from Fresha, and confirms the booking directly inside Fresha in the patient's language — in under thirty seconds, day or night.

Lead-to-consultation conversion more than doubled, and the human team refocused on high-value in-clinic consultations instead of chasing missed messages.