Launch HN: WorkDone (YC X25) – AI Audit of Medical Charts

Summary

Hey HN! We’re Dmitry, Sergey, and Alex, co-founders of WorkDone. In one sentence: we built an AI product that audits medical documentation in real time to catch and fix errors before they turn into treatment mistakes or denied insurance claims.We got interested in this problem when we saw how often small documentation slip-ups can snowball into huge financial, legal, and even life-threatening outcomes. Sometimes it’s just a mistyped medication time or a missing discharge note - basic stuff - but when you’re dealing with claims and regulatory rules, a minor error can trigger an automatic denial. Wrong copy-pasting on a discharge note will be uncovered by the insurance provider and will cost stressful appeal. By the time an overworked clinical or compliance team discovers it, it’s usually too late to just fix it. Our own experiences hit close to home: Dmitry’s family member faced grave consequences from a misread lab result, and Sergey comes from a full medical family that’s battled these issues up close.Here’s our demo if you’d be interested to take a look - https://www.loom.com/share/add16021bb29432eba7f3254dd5e9a75Our solution is a set of AI agents that plug directly into a clinic or hospital EHR/EMR system. As clinicians go about their daily routines, WorkDone continuously monitors the records. If it spots something that looks off-like a missing signature or a suspicious timestamp- it asks the responsible staff member to double-check and correct it on the spot. We want to prevent errors from becoming big headaches and wasted hours down the road. Technically, this involves running a secure event listener on top of EHR APIs and applying a group of coordinated AI agents that’s been loaded with clinical protocols, payor rules, and finetuned on historical claim denials and regulatory guidelines. The moment the model flags a potential error, an agent nudges the user to clarify or confirm. If it’s a genuine mistake, we request correction approval from the provider and fi...