The Business Challenge
The business situation the organisation faced before the project began.
The clinic managed all patient communication manually via phone and WhatsApp. Staff handled appointment scheduling, reminders, and basic inquiries by hand, creating bottlenecks during peak hours and causing missed follow-ups.
How the Solution Was Delivered
Discovery, design, development, testing and rollout — the journey, not the tooling.
- 1Mapped the full patient communication journey from intake to post-visit
- 2Built Supabase schema to store patient records and appointment data
- 3Built intake frontend on Lovable connected to Supabase
- 4Built 5 n8n workflows sequentially and tested each in isolation
- 5Connected GreenAPI webhook for live WhatsApp delivery
- 6Tested end-to-end flow across all 5 workflows before deployment
Business Outcomes & Impact
The measurable outcomes from the underlying AI Deployment — with the story behind them.
Automated 5 distinct patient communication workflows, reducing manual staff intervention across the full appointment lifecycle from intake to post-visit follow-up.
Business Outcome Categories
The story behind the numbers
Fully automated the patient communication cycle from intake to post-visit follow-up. Eliminated manual reminder sending. Reduced missed appointments through timely automated WhatsApp notifications sent 24 hours in advance.
Lessons Learned
What surprised the team, what worked well, and what would be done differently.
- Building workflows sequentially and testing each in isolation before connecting them prevents compounding errors
- Supabase RLS must be disabled during development or n8n insert operations will silently fail
- Lovable frontend forms need explicit field validation before Supabase insertion to avoid dirty data