AI Reporting Engine for a Specialist Practice
3-hour manual reports to 5-minute automated ones
Specialist practice: an AI reporting engine turned 3-hour manual reports into 5-minute automated ones—scoring structured inputs, drafting branded narratives, and lining up product recommendations.
Client type
A multi-location specialist practice that delivered personalized narrative reports to clients and needed to scale output without adding headcount.
Problem
Specialists spent 2–3 hours writing each report by hand. Volume was capped, clients waited, and recommendations were inconsistent because experts relied on copy/paste across similar cases.
Manual report process
What we built
A backend pipeline that ingests structured inputs, scores them by category, and generates branded narrative reports with product recommendations. Supabase handled data and auth; FastAPI orchestrated the pipeline; OpenAI drafted category-specific narratives with a human-in-the-loop review step.
AI report pipeline
Result
Measurable outcomes
- •Report generation cut from 2–3 hours to about 5 minutes
- •Specialist capacity increased roughly 2–3x
- •Same-day delivery rates at 95%
- •Consistent recommendations aligned with the brand product menu
Tools
Stack
- •Supabase
- •FastAPI
- •OpenAI
- •CSV / JSON export