Health plans managing Medicare Advantage programs are facing a compliance environment unlike anything seen before. CMS confirmed in January 2026 that roughly $17 billion in overpayments occur annually from unsupported diagnosis data, and RADV audits are accelerating faster than most organisations anticipated. The window to clean up sloppy coding programs is getting smaller by the quarter.

What regulators want to see now is not volume. They want accuracy, defensible documentation, and coding programs that are just as willing to remove unsupported codes as they are to add legitimate ones. That shift is forcing health plans to take a hard look at the technology and service partners they are relying on.

AI is playing a bigger role in this transformation than many realise. As we have previously covered, AI is already driving a new wave of precision across clinical processes, and that same momentum is now reshaping how health plans approach risk adjustment at every level. Choosing the right solution partner has become one of the most consequential decisions a health plan can make heading into this year.

Here are 4 risk adjustment solutions worth knowing about in 2026, ranked by the strength of their compliance-first approach, AI capabilities, and real-world performance outcomes.

1. RAAPID

RAAPID earns the top spot on this list for one straightforward reason: it was built from the ground up as a compliance-first platform, not a revenue maximisation tool. When CMS and the OIG are scrutinising programs that use chart reviews solely to add diagnoses, that distinction matters more than ever.

The platform uses Neuro-Symbolic AI, a combination of deep learning and structured clinical reasoning, to analyse medical records and validate hierarchical condition category codes at scale. What sets it apart from traditional vendors is that it actively supports two-way coding. That means it is just as capable of identifying unsupported codes for removal as it is finding legitimate diagnoses that were missed during the initial encounter.

For health plans looking to build audit-ready programs ahead of accelerating RADV cycles, their approach to retrospective risk adjustment is worth a close read. They cover everything from strategic chart selection and MEAT documentation requirements to how AI is cutting review times from 45 minutes down to under 10, with first-pass accuracy above 95 percent.

RAAPID also integrates directly into existing EHR workflows, which means coding teams do not need to overhaul their entire setup to get value from the platform. Backed by a Series A from Microsoft’s venture fund M12, it has the financial credibility to match its clinical credibility.

Best for: Medicare Advantage health plans that need defensible, audit-ready coding programs and want AI-powered efficiency without sacrificing compliance.

2. Cotiviti

Cotiviti has been in the risk adjustment space for years and remains one of the more established names in the market. Their platform handles retrospective chart reviews, analytics, and member engagement across large-scale health plan operations.

Where Cotiviti shines is in its data analytics layer, which helps health plans identify coding gaps and benchmark performance across member populations. For organisations already embedded in a broader Cotiviti analytics relationship, the risk adjustment offering adds meaningful continuity.

The platform is less focused on the kind of transparent, AI-explainability that newer entrants bring to the table, which can be a consideration for plans under heavy audit scrutiny. Still, for established health plans looking for a familiar, well-supported vendor, Cotiviti remains a solid choice.

Best for: Large health plans with existing Cotiviti analytics relationships looking for an integrated risk adjustment workflow.

3. Inovalon

Inovalon takes a data-driven approach to risk adjustment, combining claims analytics with clinical documentation review to help health plans close coding gaps across their member populations. Their platform covers both prospective and retrospective workflows, which gives coding teams more flexibility in how they structure their programs.

One of Inovalon’s strengths is its population health view. Plans can use the platform to identify members with the highest likelihood of undocumented chronic conditions and prioritise outreach accordingly.

The platform has faced some competitive pressure from AI-native entrants in recent years, but Inovalon’s depth of data assets and long-standing payer relationships keep it relevant in the enterprise space.

Best for: Health plans focused on population-level gap identification and member outreach as part of their risk adjustment strategy.

4. Episource

Episource focuses heavily on the retrospective chart review side of risk adjustment, offering both technology-assisted and fully managed services for health plans that prefer to outsource parts of their coding operations. Their model combines trained coders with clinical intelligence tools to improve chart retrieval speed and documentation accuracy.

The trade-off is that managed service models tend to offer less real-time visibility and control than platform-based solutions, which can be a consideration for plans preparing for frequent RADV audit cycles.

Best for: Health plans seeking a managed service approach to retrospective chart reviews without building out internal coding teams.

What to Look for When Evaluating Risk Adjustment Vendors in 2026

Not all risk adjustment solutions are built with the same priorities in mind. The OIG’s February 2026 compliance guidance was direct about the patterns drawing federal investigation, and any vendor that cannot demonstrate genuine two-way coding capability should raise flags for compliance officers.

Before signing any contract, health plans should ask vendors whether their platform is designed to identify both missed diagnoses and unsupported codes. They should also ask how the solution creates audit trails linking each suggested HCC code to specific clinical evidence in the medical record.

With RADV audits running on a roughly quarterly cycle and CMS continuing to tighten documentation requirements under the V28 model, 2026 is not the year to settle for a vendor that was built for a different regulatory environment.

The health plans that come out ahead will be the ones that invest now in programs built around accuracy, compliance, and defensible coding from the ground up.