Case Study · Reusable Framework / Healthcare
Healthcare Reception Framework
Reusable AI reception and booking automation framework designed for healthcare providers. Pre-configured conversation flows handling patient inquiry triage, treatment qualification, appointment booking, reminder sequences and pre-visit instructions — deployable across clinics and practices with minimal customization. Built as an operational framework, not a single-instance solution.
Focus
Systems Architecture · Automation Design · Customer Operations · AI Implementation
Stack
n8n · Claude API · WhatsApp Cloud API · Notion · CRM
Status
Production · Deployable
Problem
Clinics and healthcare practices share the same reception workload — triage, booking, reminders, pre-visit instructions — yet each one rebuilds the workflow from scratch. The opportunity: package the logic once as an operational framework, deploy it many times across practices with minimal customisation.
Approach
Reusable AI reception and booking automation framework designed for healthcare providers. Pre-configured conversation flows handling patient inquiry triage, treatment qualification, appointment booking, reminder sequences and pre-visit instructions — deployable across clinics and practices with minimal customization. Built as an operational framework, not a single-instance solution.
What I built
- Reusable framework architecture for multi-clinic deployment
- Patient inquiry triage and treatment qualification logic
- Appointment booking with calendar and resource integration
- Automated reminders and pre-visit instruction delivery
Outcome
A reusable healthcare reception framework that takes a new clinic from cold-start to running patient triage, booking and follow-up automation in days, not months — with minimal per-practice customisation.
Architecture notes
Built to run autonomously, fail loudly, and be handed off to a team — not held together by a single operator. Conversation state, business logic and integration adapters are separated so any layer can be swapped without rebuilding the system.
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