AKASA is a generative AI platform purpose-built for the healthcare revenue cycle. Drawing on clinical and financial data, its AI is optimized to understand the nuances of health system operations, enabling revenue cycle teams to work faster, reduce errors, and recover more revenue. The platform delivers measurable results including faster speed-to-value, decreased cost-to-collect, and greater patient satisfaction.

The platform includes a Prebill Optimization Suite that unifies medical coding and clinical documentation improvement (CDI) to close documentation gaps, ensure accuracy, and improve quality. The Coding Optimizer surfaces missed coding opportunities, uncovers quality and compliance risks, and boosts revenue integrity through generative AI insights. The CDI Optimizer uncovers documentation gaps and enables accurate patient documentation with a GenAI assistant.

Additional solutions include an AI Advisor, a research assistant built for revenue cycle teams that helps staff find answers, documents, and context faster. Auth Status automates authorization status checks to reduce manual follow-ups, while Claim Status automatically retrieves up-to-date claim information, alleviating the burden on staff. AKASA's GenAI is trained on millions of clinical documents and continuously learns from new data.

Clients have reported a 13% decrease in accounts receivable days, over 300 hours of staff time saved per month, a $30 million gross yield increase, and an 86% efficiency improvement. The platform is used across all 50 states by health systems of all sizes.