WorkDone, a healthcare AI startup, has raised $1.8 million in pre-seed funding to tackle one of healthcare’s most persistent and costly challenges: documentation errors in Electronic Health Records (EHRs). The April funding round included support from Pioneer Fund, DVC, Fjor, Ryan Chan, Eric Norman, and other notable early-stage investors.

Inaccurate or incomplete clinical documentation often results in delayed insurance payments, administrative burden, and lost revenue for healthcare providers. WorkDone addresses this issue with an AI-powered compliance copilot that integrates directly with hospital EHR systems using HL7, FHIR, and other protocols. The tool monitors clinical workflows in real time, identifying and resolving documentation gaps—such as missed discharge notes or incorrect medication times—before they lead to claim denials or audits.

WorkDone’s platform delivers measurable results, accelerating insurance payments by up to 20%, reducing provider documentation time by 30%, eliminating 90% of manual audit efforts, and recovering up to 15% in lost revenue due to preventable claim denials. “Accurate documentation isn’t just a billing issue – it’s a foundation of quality care,” said CEO Dmitry Karpov. “We help ensure that what happens in care gets reflected correctly, in real time.”