Private hospital
Service-desk agent for a healthcare provider.
A composite industry example drawn from deployment experience. This example combines experience by industry rather than describing a single client. Its measures indicate what can be tracked, not published numerical results.
Last updated September 2026
The challenge
Answering which doctor is on duty now takes the receptionist away from the desk. The roster lives with the department, so she leaves the people standing in front of her and goes to ask.
What we built
A WhatsApp agent lists departments and on-duty doctors, books appointments, and states what the insurance covers and when reports can be collected. It accepts a voice note and a photograph of a prescription, because that is what patients actually send.
How it operates
Non-clinical questions are answered without the receptionist leaving her position. Appointment requests collect in one record the provider can read demand from, department by department.
The measure
The share of non-clinical questions closed without a person, and how appointment demand distributes across departments.
What happens next
The agent gives no diagnosis and no dosage. A question about a symptom leaves the agent and reaches a qualified doctor.
Deployment facts
- Channels
- WhatsApp Business API, web
- Industry
- Healthcare
- Product
- ChatSheba
- Region
- Yemen
- Technologies used
- ChatSheba · AI agent
This example combines experience by industry rather than describing a single client. Its measures indicate what can be tracked, not published numerical results.
Sheba’s overall experience
- 30+production deployments
- 35+AI agent personas
- 14+industries
These figures describe Sheba’s overall experience, not this example or a single client.