Cleveland Clinic and AKASA Deepen AI Partnership To Modernize the Revenue Cycle
Deployment of CDI solution follows successful deployment of AI coding tool earlier this year
South San Francisco, Calif. — October 13, 2025 — AKASA today announced an expanded partnership with Cleveland Clinic focused on the mid-revenue cycle. The health system was recently the first organization to complete a pilot of the company’s clinical documentation integrity (CDI) solution and will now implement it across all its U.S. locations.
Accurate clinical documentation and medical coding are critical to comprehensively and properly capturing the patient clinical journey.
Earlier this year, Cleveland Clinic completed the rollout of the AKASA AI coding tool, implementing it in all its U.S. locations over the course of four months and using it to process tens of thousands of encounters already.
Building on that collaboration, the new CDI AI deployment brings the same approach to documentation improvement through generative AI (GenAI). CDI represents an even more complex task than coding. CDI staff need to review all the documentation that a coder reviews, in addition to labs, imaging vitals, medications, and other complex multi-modal data. This tool allows CDI staff to leverage an AI assistant to support the accuracy and efficiency of their work.
“Expanding the breadth of our work with Cleveland Clinic is a powerful example of what’s possible when health systems and technology partners tackle the toughest challenges together,” said Malinka Walaliyadde, CEO and co-founder of AKASA. “By addressing documentation and coding at scale, we’re proving that AI can finally close long-standing gaps in the revenue cycle. And when health systems can fully capture the complexity of patient care, everyone benefits, from clinicians to revenue cycle staff to patients themselves.”
The CDI solution is part of a unified platform that connects documentation and coding into one workflow. The system is customized for each health system’s clinical and operational nuances and designed with an interface that surfaces key clinical evidence directly to staff, making it easier to prioritize their time.
“Integrating advanced AI solutions into our revenue cycle is a testament to Cleveland Clinic’s commitment to innovation and operational excellence,” said Ben Shahshahani, Ph.D., Chief AI Officer at Cleveland Clinic. “The success of the AI coding platform has demonstrated the transformative impact of technology in enhancing efficiency and quality. With the launch of the CDI solution, we are excited to continue setting new benchmarks for how AI can support our teams, improve processes, and ultimately benefit our patients.”
Cleveland Clinic, Duke University Health System, and AKASA will share their experiences on a panel at the AHIMA 2025 Conference, titled “Rewriting the Mid-Cycle: GenAI’s Role in Protecting Margins and Elevating Revenue Integrity” (Monday, October 13 at 1:45 p.m.), to share real-world lessons and challenges from bringing GenAI into the mid-cycle.
About AKASA
AKASA is the leading provider of generative AI (GenAI) for healthcare revenue cycle management. It uses the latest technology to help leading health systems and academic medical centers get credit for 100% of the services they provide, producing better financial and quality outcomes while delivering more precise care. Powered by the AKASA Platform, our technology combines deep revenue cycle knowledge with custom large language models (LLMs) trained on a health system’s own clinical and financial data. Recognized by Black Book Market Research as the #1 healthcare RCM startup, AKASA helps organizations address complex workflows and capture the full value of care to deliver accuracy, compliance, and efficiency at scale.
