How we delivered Lumière Skin Clinic.
Product build: Website + AI WhatsApp agent
Client Background & Challenges
A specialty dermatology clinic providing premium skincare and aesthetic treatments.
Key Obstacles Identified
- Missed booking inquiries during off-hours, leading to lost consultation leads.
- Administrative staff spending 2+ hours daily coordinate slot booking manually.
Our Solution Strategy
We deployed a custom Next.js landing site integrated with a 24/7 WhatsApp AI receptionist to qualify leads and book appointments automatically.
Implementation Roadmap
Step-by-step product implementation
Audited the clinic's FAQ logs and treatment price catalogs.
Developed a custom Next.js booking template.
Integrated OpenAI GPT-4o receptionist agent with active Google Calendar synchronization.
Conducted 72h sandbox parallel testing before production launch.
Quantified Outcomes & ROI
In line with our case study verification protocol, metrics are verified post-deployment. We avoid fabricated ROI claims.
Key Lessons & Operational Takeaways
- Having a clean context database of treatment definitions keeps the AI receptionist answers precise.
Our QA & Testing Methodology
Every product rollout passes through a sandbox testing protocol. Integrations are stress-tested for concurrency before launching.
Operational Security & Maintenance
Security is configured via strict HTTP headers and end-to-end token validation endpoints. Ongoing maintenance loops are run monthly.
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