An AI patient assistant that resolves 65% of enquiries
A privacy-first AI assistant that answers patient questions, manages appointments and routes clinical topics to staff — integrated with Lumora's booking and CRM systems.
- Client
- Lumora Health
- Industry
- Healthcare
- Services
- Web, AI
- Timeline
- 3 months
- Year
- 2026
- Location
- United Arab Emirates
- 65%
- Enquiries resolved automatically
- 38s
- Average resolution time
- 91%
- Patient satisfaction
The challenge
Lumora's clinics received thousands of calls and messages each month about opening hours, appointments, preparation instructions and billing. Staff were overwhelmed, response times stretched to hours and patients were frustrated.
Our solution
We built a retrieval-augmented assistant grounded in Lumora's approved patient information, connected to the scheduling system for bookings and reschedules. Clinical or sensitive topics are detected and handed to staff with a full summary.
Evaluation sets built from real, anonymised enquiries measured accuracy before launch, and every conversation is monitored for quality.
- Web and WhatsApp channels
- Appointment booking and rescheduling
- Clinical-topic detection and escalation
- Anonymised analytics and quality review
Inside the project
Conversation quality dashboard 
Appointment scheduling flow
Built with
- Node.js
- PostgreSQL
- OpenAI
- Claude by Anthropic
- pgvector
“AISOFTAGENCY didn't sell us an AI demo — they redesigned our patient support workflow around it. Within three months the assistant was resolving most routine enquiries, and our team finally had time for the conversations that need a human.”
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