Insurance AI

The Problem

Insurance approvals involve too many people doing too much manual reading: the patient submitting a claim, the provider documenting it, the admin processing it, and the approver making the final call. At every handoff, someone was writing — or re-reading — dense medical history in a plain text box, slowing the whole chain down. More people in the loop meant more friction, not more accuracy.

What We Built

We built a platform where each stakeholder — patient, provider, admin, and approver — works from the same intelligent core instead of the same wall of text.

• —Medical history no longer needs to be manually parsed: it's written in plain language and the AI aggregates and structures it automatically.
• —The platform surfaces exactly what each role needs to make their call.
• —The AI does the heavy lifting of reading, organizing, and summarizing; the human just approves and moves it forward.

The Result

A four-party workflow that used to bottleneck at every step now moves at AI speed with human judgment layered on top. Faster approvals, less manual reading, and a process that scales without adding headcount.