01 — Problem
Enquiries arrived through forms, email, WhatsApp and phone with no single view. Coordinators answered the same preparation and pricing questions repeatedly, and response times varied by channel and time zone.
Example formatThis is an illustrative example showing the case-study format. It is not a real client project and contains no real results.
Example — Clinic group
An enquiry-to-booking system for an international clinic group
Illustrative scenario: unifying website, SEO, WhatsApp follow-up and an AI knowledge assistant so coordinators spend time with patients instead of inboxes.
- Industry
- Healthcare
- Timeline
- Illustrative: 12–16 weeks
- Year
- —
- Services
- Web Development, AI Chatbots, SEO, Lead Generation
02 — Strategy
Consolidate every enquiry into one pipeline, answer repetitive questions from approved content, and rebuild treatment pages around the questions patients actually search for.
03 — Solution
A rebuilt multilingual website with structured treatment pages, a multi-step enquiry form routed to the CRM, automated WhatsApp acknowledgements and a knowledge assistant grounded in approved clinical content with handover to coordinators.
04 — SEO strategy
Treatment-by-location architecture, hreflang for each market, MedicalClinic and FAQ structured data where appropriate.
05 — AI implementation
Assistant limited to approved content, with citations, refusal rules for medical advice and human handover.
Technology
- Next.js
- Headless CMS
- WhatsApp Business API
- CRM integration
- RAG assistant
Target outcomes (illustrative)
Single view of every enquiry
Faster first response across channels
Fewer repetitive coordinator questions
Next step