Kuri Saúde × Workflow Intelligence
Scaling hospital workflowsthrough AI automation
Role
Product Analyst
Timeline
February 2023 – July 2023
Team
1 Product Analyst & 2 Engineers
The Problem
Hospitals receive thousands of pages of pricing tables and negotiation rules from insurers. This data is critical for resolving glosas, but most documents arrive in paper or inconsistent PDFs, forcing analysts to extract information manually. The result: slow reimbursement cycles, high operational costs, and lost revenue.
The Opportunity
Build an AI system that converts unstructured hospital documents into clean, usable data so analysts can review reimbursement cases faster and more accurately.
My Role
Scoped the problem, aligned constraints, and defined the product requirements for an AI-powered revenue-cycle automation system.
Researched, selected, and tested OCR/LLM approaches and infrastructure tools. Designed the extraction pipeline and validated it with real hospital data.
Mapped operations, designed streamlined review flows, and built interactive prototypes to test usability, performance, and output quality end-to-end.
Feature / AI Pipeline
OCR
digitizes scanned pages
LLM extraction
identifies rules, operators, codes, dates
Normalization
cleans fields, removes noise
Structuring
stores as searchable data
Dashboard
analysts review & act
The Solution
An automated intelligence layer that:
Reads thousands of pages in minutes
Flags expired or risky rules
Structures documents into clean tables
Centralizes operator information
Powers a new internal dashboard for analysts
Impact
faster document review
lower operational cost
pages processed in < 5 days
hospitals & insurers using it
Learnings
Infra and models are product decisions.
Choosing OCR tools, LLMs, and the extraction pipeline wasn't a back-end detail. It defined speed, reliability, and what the interface could promise. I learned to treat model and infrastructure choices as core product levers, not technical afterthoughts.