The Business Challenge
The business situation the organisation faced before the project began.
The clinic's front desk handled repetitive patient inquiries manually, including appointment procedures, service availability, and clinic policies. Staff time was consumed by questions that required no clinical judgment.
How the Solution Was Delivered
Discovery, design, development, testing and rollout — the journey, not the tooling.
- 1Mapped all recurring patient inquiries and clinic FAQs
- 2Chunked and embedded clinic documents into Pinecone
- 3Built n8n workflow connecting GreenAPI, Pinecone, and Gemini
- 4Tested retrieval accuracy across 30 sample patient questions
- 5Deployed and configured GreenAPI webhook for live WhatsApp traffic
Business Outcomes & Impact
The measurable outcomes from the underlying AI Deployment — with the story behind them.
Reduced front desk response time for routine inquiries from an average of 4 minutes to under 5 seconds. Automated 100% of FAQ-type patient messages through WhatsApp.
Business Outcome Categories
The story behind the numbers
Eliminated manual handling of routine patient inquiries. Front desk staff time was redirected to clinical support tasks. Patient questions received accurate, context-aware responses via WhatsApp in under 5 seconds.
Lessons Learned
What surprised the team, what worked well, and what would be done differently.
- Chunking strategy significantly affects retrieval accuracy; smaller focused chunks outperformed large document blocks
- GreenAPI webhook reliability requires n8n error handling workflows to catch failed message deliveries
- Gemini embedding quality on medical terminology is strong without fine-tuning