Cleveland Clinic Partners With Luminai to Pilot AI-Driven Hospital Operations Automation

The collaboration focuses on streamlining end-to-end administrative tasks within one of the largest healthcare systems in the world.

Cleveland Clinic has partnered with AI startup Luminai to test how artificial intelligence can automate core hospital administrative operations, beginning with referral management workflows that are traditionally handled through manual, fax-heavy processes.

The collaboration focuses on streamlining end-to-end administrative tasks within one of the largest healthcare systems in the world, which recorded nearly 16 million patient encounters in 2025 across 23 hospitals and 300 outpatient facilities globally.

Referrals often serve as the entry point for patient care, but current systems rely heavily on manual review of unstructured data, including faxed documents and handwritten notes.

Luminai’s platform is being used to automate this intake process by identifying whether incoming faxes represent referrals, assessing urgency levels, extracting patient data, and routing cases into scheduling systems or electronic medical records (EMRs). According to the company, its AI system processes each fax in under a minute, significantly faster than traditional workflows that can take days or weeks in many health systems.

“Healthcare’s administrative functions operate as a massive, manual coordination layer,” said Kesava Kirupa Dinakaran, founder and CEO of Luminai. He added that recent AI advancements now allow the execution of full workflows rather than isolated task automation.

Cleveland Clinic executive vice president and chief digital officer Rohit Chandra said the initiative began with referrals due to their complexity and high coordination demands across systems. He noted that early pilot results showed potential for improved efficiency and operational consistency.

Dinakaran also highlighted that referral workflows involve multiple steps such as intake validation, risk assessment, scheduling, and follow-ups, often requiring coordination across fragmented systems. He said the platform is designed to extend into broader administrative areas, including eligibility checks, revenue cycle processes, and supply chain workflows.

Luminai, founded in 2020, now works with around 20 large health systems and recently raised $38 million in Series B funding led by Peak XV Partners. The company combines healthcare-trained AI models with workflow automation tools and human-in-the-loop validation systems.

Cleveland Clinic said the collaboration is moving beyond pilot phases, with plans to evaluate expansion into additional administrative workflows. Chandra noted that future focus areas will likely include high-volume, repetitive processes where automation could improve speed, accuracy, and consistency.

Industry observers say such platform-level AI adoption reflects a broader shift in healthcare, where organizations are moving away from isolated tools toward integrated systems capable of managing complex operational workflows across departments.

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