Ensemble + Cohere to Deliver First RCM-Native LLM for Healthcare

New partnership will create a custom AI model to streamline revenue cycle management for health systems

Mar. 31, 2026 at 6:53pm

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A highly detailed 3D illustration of a glowing, neon-lit circuit board or data center infrastructure, representing the complex, interconnected systems that power modern healthcare revenue cycle management. The image features recognizable hardware elements like circuit traces, processors, and data cables, all illuminated by vibrant cyan and magenta lights.Ensemble and Cohere's new RCM-native AI model aims to streamline the intricate web of financial processes and regulations that underpin healthcare revenue cycle management.Cincinnati Today

Ensemble, a leading revenue cycle management (RCM) partner for healthcare organizations, and Cohere, an enterprise AI company, have announced a new partnership to build the industry's first RCM-native large language model (LLM). Unlike generic LLMs, this custom model will be shaped by Ensemble's deep RCM expertise and real-world data to deliver measurable performance improvements in handling the complex processes and regulations that underpin healthcare financial operations.

Why it matters

This RCM-native AI model represents a significant advancement in applying AI to the healthcare revenue cycle. By grounding the model in Ensemble's operational knowledge and real RCM data, rather than relying on generic language models, the system will be able to better comprehend the nuances of payer requirements, regulatory details, and multi-step processes that are critical to effective revenue cycle management. This could lead to substantial productivity gains and reduced administrative burden for healthcare providers.

The details

Ensemble and Cohere are taking a 'real-world, implementation-first approach' to building this custom LLM. They are leveraging Ensemble's deep expertise in RCM operations, including its well-defined processes, insights into payer behavior, and access to deidentified data sources. This will allow the model to be fine-tuned on actual RCM tasks, rather than relying on generic prompts wrapped around a standard LLM. The goal is to create an AI system that can efficiently navigate the complex rules and documentation requirements set forth by payers, mirroring the thought processes of high-performing RCM operators.

  • Ensemble and Cohere announced this partnership on March 31, 2026.

The players

Ensemble

The nation's leading end-to-end revenue cycle managed services partner for healthcare organizations.

Cohere

A leading security-first enterprise AI company that is partnering with Ensemble on this project.

Judson Ivy

The president and CEO of Ensemble.

Aidan Gomez

The co-founder and CEO of Cohere.

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What they’re saying

“For more than a decade, Ensemble's domain expertise has powered our clients' financial performance and award‑winning RCM results. What we're building with Cohere elevates this advantage.”

— Judson Ivy, President and CEO, Ensemble

“Together with Ensemble, we're committed to building purpose‑built AI solutions that truly understand the complexities of healthcare revenue cycle operations.”

— Aidan Gomez, Co-founder and CEO, Cohere

What’s next

Ensemble and Cohere plan to fully integrate the RCM-native LLM into AI agents that power end-to-end revenue cycle orchestration, from patient intake to account resolution. The model will be embedded into Ensemble's RCM services to help healthcare providers reduce administrative burden and focus on delivering exceptional patient care.

The takeaway

This partnership between Ensemble and Cohere represents a significant advancement in applying AI to the complex challenges of healthcare revenue cycle management. By building a custom LLM grounded in real-world RCM expertise and data, rather than relying on generic language models, the companies aim to deliver measurable productivity gains and improved accuracy for healthcare providers.