Never Miss a Patient Call or Booking Again. Meet Your 24/7 AI Receptionist
An autonomous, dual-channel AI system that handles live telephony calls and WhatsApp automation. Seamlessly book, cancel, and manage appointments in real-time with zero human intervention.
SDAIA Compliant
PDPL Compliant
100% In-Kingdom Cloud Hosting
The Healthcare Reception Bottleneck
The Problem
Saudi clinics lose up to 35% of potential bookings due to unanswered phone calls during peak hours, delayed WhatsApp replies, and manual coordination errors on legacy schemas. Human receptionists cannot scale 24/7 to manage sudden spikes in patient call volume.
The AI Solution
AQ Clinic Assist operates completely autonomously around the clock. It does not just reply—it actively resolves patient queries, verifies internal insurance rules, maps complex shift schedules, and locks booking slots directly into your management system with 100% precision.
Unified Omnichannel Intelligent Automation
Channel 1: Full-Duplex AI Voice Receptionist
Real-Time Voice Booking
Patients can call, check available physician schedules, and book or reschedule slots using natural voice commands.
Active Interruption Handling (Barge-In)
The AI listens dynamically. If a patient cuts in mid-sentence to switch departments or doctors, the audio buffer clears instantly to process the new intent under 2 seconds.
Natural Saudi Dialect
Powered by advanced Text-to-Speech engines trained in professional "White Arabic" syntax, ensuring a localized and reassuring patient experience.
Channel 2: Multi-Intent WhatsApp Automation
Voice Note Transcription
Instantly converts incoming patient voice notes into structured text to parse complex, multi-intent requests.
Smart Input Constraints
Built-in safeguards gracefully handle messy inputs. If a voice note exceeds 45 seconds, the system politely prompts for a shorter text summary to guarantee zero booking errors.
Automated Reminders & Follow-ups
Automatically triggers appointment confirmations, rescheduling links, and clinic FAQs directly via WhatsApp to eliminate no-shows.
Enterprise-Grade Security: Fully Compliant with SDAIA & PDPL
We do not compromise on patient data. Our architecture is engineered from the ground up to meet the strict healthcare regulations of the Kingdom of Saudi Arabia.
SDAIA Compliance
GovernanceOur system strictly adheres to the National Data Management Office (NDMO) and SDAIA guidelines for Artificial Intelligence governance, safety, and ethics.
Absolute PDPL Alignment
Legal FrameworkFully compliant with the Saudi Personal Data Protection Law (PDPL). Sensitive healthcare identifiers never leave national borders.
100% In-Kingdom Data Residency
InfrastructureAll databases, core infrastructure, and application hosting are deployed strictly on local secure cloud instances.
Local PII Masking Middleware
Data SecurityPatient names, National IDs/Iqamas, and phone numbers are intercepted and anonymized locally inside KSA before any external language processing pipelines are reached.
Strict Healthcare Guardrails
Safety ControlsHardcoded prompt constraints permanently block the AI from providing medical triage, clinical advice, or diagnostics—keeping its operations strictly within secure administrative and booking workflows.
Standalone Clinic Command Console
System Integration
Many operating clinics in Saudi Arabia rely on legacy, localized on-premise servers with closed schemas and zero open API connectivity. AQ Clinic Assist bypasses this obstacle with a native, standalone Next.js 14 console. Your reception staff can view real-time, automated AI bookings via Server-Sent Events (SSE) and copy them manually—allowing immediate deployment and immediate B2B sales cycles without waiting for third-party software updates.
Clear-Cut, Transparent Pricing
In alignment with our core brand values, we provide fixed, straightforward pricing matrices with no hidden integration fees.
Product FAQ
No. It optimizes their workflow. By automating up to 80% of routine inquiries and appointment loops, your staff can focus on welcoming in-clinic patients and managing critical on-site operations.
The system operates on a hierarchical doctor-shift matrix. Prices are dynamically calculated based on the designated physician's title during the booking process, blocking restricted procedures from being incorrectly assigned.
Our backend architecture uses strict PostgreSQL Row-Locking and Redis state queues. The first request is locked within a fraction of a millisecond, while the second patient is gracefully redirected to the next available opening, completely avoiding double-booking bugs.