Healthcare In pilot
Case study
Dental OS



Product preview · Names anonymised
Patients answered on WhatsApp. Every visit reminded. The front desk freed up.
- Built for
- Dentists and front-desk teams
- Industry
- Healthcare
- Project Type
- AI-native clinic operations system
Description
Dental OS is an AI-native workspace that runs a dental clinic’s day: appointments, patient records, treatment plans, billing and patient conversations, all connected.
Patients book through the clinic website and message on WhatsApp. An AI assistant answers routine questions using the clinic’s own information and drafts replies in a shared inbox, while clinical questions and complaints go straight to staff. Appointment reminders and recalls go out automatically, so follow-up no longer depends on someone remembering.
The outcome it is built for: less front-desk admin, faster replies to patients and more planned visits kept. The system is in pilot; results will be measured against the clinic’s baseline.
Deployment options
Available as a subscription or as a deployment on your infrastructure, subject to the agreed scope. Forward Deploy retains the software’s intellectual property; usage rights, fees, support and running costs are agreed in writing. Read the terms
Specifications
- Status
- In pilot
- Platform
- Web application, patient booking website and WhatsApp
- Built for
- Front-desk teams, dentists and clinic administrators
- Application
- Next.js, React and TypeScript
- Data layer
- PostgreSQL with Prisma
- Access & files
- Supabase Auth, role-based permissions and private S3-compatible file storage
- Communication
- Provider-based WhatsApp integration, shared inbox and scheduled reminders
- AI assistance
- Clinic-grounded replies with staff escalation; enabled through a configured model provider
Features
A connected clinic calendar
Manage appointments, provider availability and chairs in the same workflow. Give patients a direct route to booking through the clinic website.
Patient records & dental charting
Keep patient details, clinical notes, tooth-level findings and prescriptions together, with context available for the next visit.
Treatment planning
Organise treatment plans and their individual items, track progress and record the care delivered.
Billing & payments
Create invoices, record payments and connect checkout to the patient’s treatment workflow.
AI-assisted WhatsApp inbox
Bring patient conversations into a shared inbox. Answer routine enquiries using clinic information and route clinical concerns or complaints to the team.
Reminders & recalls
Connect appointment events to outbound messages and delivery tracking, helping the team follow up consistently with less manual chasing.
Architecture
A shared application connects clinic operations, patient booking and WhatsApp. PostgreSQL holds the records; messaging workflows handle reminders and replies. Configured AI assists with routine enquiries while staff handle escalations.
Explore the architecture ↗ (new tab)Expected Impact
Pilot expectations, not measured results. Savings and improvement figures will be added after comparison with the team’s baseline.
Less admin
More time for patients
Connected booking, records and reminders are expected to reduce repeated data entry and manual follow-up.
Pilot measure Track minutes spent on booking and follow-up per appointment before and during the pilot.
Faster replies
Shorter response times
AI-assisted answers to routine questions are expected to reduce the time patients wait and the number of enquiries staff need to handle manually.
Pilot measure Compare median first-response time and the share of conversations requiring staff intervention.
Better follow-up
Fewer missed opportunities
Appointment reminders and recalls are expected to make follow-up more consistent and help patients return for planned care.
Pilot measure Compare appointment attendance, recall-to-booking conversion and reminder delivery rates.
Less chasing
Clearer payment visibility
Connected invoices and payment records are expected to make outstanding balances easier to identify and reduce manual reconciliation.
Pilot measure Track reconciliation time and overdue balances. Value time saved using the clinic’s actual hourly staff cost.