Healthcare Document AI

The problem

Healthcare document workflows were slow and error-prone: staff read long unstructured records by hand, and any AI assistance had to operate inside strict privacy and deployment constraints without inventing facts.

What we built

• A retrieval pipeline over unstructured medical documents with explicit citation surfaces.
• Evaluation harnesses so answer quality could be measured instead of assumed.
• A review-first interface: AI drafts, humans confirm, every step is traceable.
• Privacy-aware backend architecture and deployment boundaries agreed up front.
• Incremental rollout with logging to compare AI-assisted output against the manual baseline.

Outcome

An AI-assisted workflow that keeps humans in control, makes uncertainty visible, and can be defended in a regulated environment — the same discipline we apply to every AI feature we ship.