EnableComp's AI Blueprint: A Call for Transparency in Healthcare Tech

FRANKLIN, Tenn. – June 17, 2026 – In an industry awash with grand claims about the potential of artificial intelligence, one company is making a deliberate shift from talking about what AI can do to showing how it gets done. EnableComp, a specialist in the notoriously difficult field of Complex Revenue Cycle Management (RCM), has launched a multi-part thought leadership series aimed at demystifying the process of building and deploying AI at an enterprise scale within a regulated environment.

The first installment, titled “The Blueprint,” was released today. It’s less a whitepaper and more a candid documentation of the company's journey from adopting individual AI tools to architecting an entire AI-first software development lifecycle (SDLC). This move for transparency is a direct response to a market saturated with hype but starved of practical details.

"We're publishing this series because healthcare AI needs more transparency," said Frank Forte, CEO of EnableComp, in the announcement. "There are plenty of claims about what AI might do. We think the more useful conversation is how it actually gets built, what it takes to govern it, and what teams learn when they put it into production."

For hospitals and health systems, this conversation couldn't be more timely. As they grapple with shrinking margins and increasing claim denials from AI-powered insurance payers, the pressure to adopt effective technology is immense. EnableComp’s initiative promises a look inside the engine room of a company that helps over 1,000 hospitals recover $3 billion annually from the most challenging claims.

From Tools to an Operating Model

The central theme of “The Blueprint” is the transition from treating AI as a feature to embracing it as a core operating model. This is a critical distinction many organizations are still struggling with. While pilot projects can demonstrate isolated gains, scaling those benefits requires a fundamental redesign of how work is done. The paper documents EnableComp's methodical shift away from manual coding toward what it calls “spec-first, agentic workflows.”

This new SDLC involves specialized AI agents analyzing requirements, generating code, and performing tests, with human developers providing high-level guidance, oversight, and validation at critical handoffs. This evolution reflects a broader industry trend where the role of the developer is elevated from line-by-line coding to architectural design and system orchestration. The architect behind this transformation is Chief Technology Officer Brian Kenah, who joined the company in June 2025 with a clear mandate to accelerate its AI capabilities.

"The Blueprint is our way of showing the work behind the results," stated Kenah. "It documents the structure, decisions, lessons, and tradeoffs behind an AI-first development lifecycle in a healthcare environment. That level of practical detail is still rare in the market." This commitment to practical detail is what sets the initiative apart, moving beyond buzzwords to offer a replicable framework for other builders in complex industries.

Validated Performance with Embedded Governance

Talk of new models is interesting, but results are what matter. EnableComp reports that its enterprise-wide transformation, involving four engineering teams under a single governed model, has yielded dramatic performance gains. “The Blueprint” documents a 3-5x improvement in development velocity on existing codebases and a staggering 5-7x acceleration in delivering new features. Crucially, these figures are not from a sandboxed pilot but from their live production environment.

Achieving this velocity in any industry is impressive; doing so in healthcare is a feat of engineering and governance. The company operates in a domain governed by HIPAA and other stringent data privacy and security regulations. Building an AI operating model that is both fast and compliant required embedding governance directly into the workflow. This includes robust mechanisms for human oversight at every key stage, ensuring that AI-generated outputs are validated before deployment.

The company’s platform, e360 RCM®, underscores this commitment to security, holding both SOC 2 Type II and HITRUST e1 certifications. These credentials are not just badges; they represent a foundational investment in the trust required to handle sensitive patient and financial data. By integrating compliance from the ground up, the AI operating model becomes a sustainable engine for innovation rather than a source of regulatory risk.

A Strategic Response to Industry Pressure

EnableComp's push for AI-driven efficiency isn't happening in a vacuum. Healthcare providers are facing a potential “revenue cliff” in 2026, driven by the expiration of enhanced ACA subsidies and legislative changes. Simultaneously, payers are deploying their own sophisticated AI to review and deny claims at a scale that human teams cannot possibly match. Providers are, in effect, being forced to bring their own advanced technology to the fight.

This is where the rubber meets the road for EnableComp's strategy. The AI-first development model detailed in “The Blueprint” is the engine that powers its Complex Revenue Intelligence™ platform, which combines technology with 25 years of specialized human expertise. This blend allows the company to identify hidden revenue, adapt to constantly changing payer rules, and recover funds that would otherwise be lost.

Underscoring its commitment to tackling the hardest parts of the revenue cycle, the company acquired H/ROI in January 2026, a firm specializing in complex clinical denials. This strategic move expanded its capabilities in resolving challenging denials related to DRG downgrades and medical necessity, further strengthening its position as a comprehensive partner for hospitals. The next paper in the AI Transformation Series will document how this deep domain expertise, augmented by the H/ROI acquisition, is being encoded into the company's AI systems, creating a continuously learning platform that gets smarter with every claim it processes.