FinThrive Launches AI Denials Prevention Manager — Stop the Denial Before It Happens

The industry has spent 20 years building denial management tools. Almost all of them work the same way: a claim gets denied, someone works it. FinThrive is betting on a different model — catch the denial before the claim ever leaves the building.

85%+

Of claim denials are considered avoidable, per HFMA. FinThrive's new product targets this gap with pre-submission AI scoring trained on billions of institutional and professional claims.

What FinThrive Launched

FinThrive announced Denials Prevention Manager today — an AI layer that sits inside the claims workflow and scores claims for denial risk before submission. When a claim looks problematic, the system flags it, identifies the root cause (coding gap, documentation issue, authorization miss, payer-specific billing pattern), and surfaces a corrective action.

This isn't a new concept. Pre-bill scrubbing has been around for years. What's different here is the underlying model — FinThrive says it was trained on billions of institutional and professional claims and learns continuously from real adjudication outcomes. That last part matters: static rules-based engines miss how payer behavior actually evolves. If a payer quietly shifts its clinical criteria, a rules engine doesn't know until you start seeing denials. A model trained on live adjudication data can catch the pattern earlier.

How it fits into the FinThrive stack

Denials Prevention Manager integrates with FinThrive Claims Manager and feeds into FinThrive Fusion, the company's enterprise data intelligence platform. Claims that pass through the prevention layer contribute enriched data to Fusion's analytics engine — creating a feedback loop across the pre- and post-submission cycle.

The Problem It's Targeting

Denials are a persistent revenue leak. Up to 10% of claims get denied. Of those, the majority are considered avoidable — coding issues, documentation gaps, missing authorizations, payer-specific nuances that billing teams are expected to memorize and track manually.

The cost isn't just the denied dollars. It's the cost to work the denial: the staff time, the rework cycles, the AR days. Denial-related write-offs have risen sharply in recent years as payer behavior has gotten more aggressive. Most of the market has responded by building better denial tracking and appeal tools. FinThrive is trying to address the root cause instead.

10%

Of claims are denied across the industry. Multiply that by your total annual claims volume and you're looking at a material revenue exposure — before a single appeal gets worked.

What Riverside Health System Said

FinThrive cited Riverside Health System as an early adopter. Two quotes are worth paying attention to:

"Instead of reacting to denials weeks later, we can now intervene in real time. That has the potential to reduce cost-to-collect and improve cash flow significantly." — Christopher Abbondanzo, Director of Revenue Cycle, Riverside Health System

"We're looking to use its insights to identify where issues originate and ensure they're addressed by the right teams — such as routing coding-related denials back to coding before claims are submitted." — Amy McNeal, Director of Denials and Insurance Follow-up, Riverside Health System

The second quote is the operational tell. The value isn't just the flag — it's the routing logic. When a denial risk is coding-related, it shouldn't go to the denial team. It should go back to coding. That's a workflow problem most denial tools haven't tried to solve.

Why This Matters for RCM Leaders

A few things to watch:

The feedback loop claim is significant. FinThrive says Denials Prevention Manager complements their Denials and Underpayments Analyzer — pre-submission prevention feeding into post-submission recovery, with both outputs going into Fusion. If that loop actually works, you get a system that improves on its own as it processes more claims.
The payer-specific intelligence piece is the hard part. Coding and documentation flags are table stakes. The real differentiation is whether the model can accurately predict denial risk by payer and procedure type — and whether it stays current as payer adjudication behavior shifts. That's what FinThrive is claiming. It'll take customer data to validate.
The HFMA showcase timing is intentional. FinThrive is presenting at HFMA 2026 Annual Conference (booth #249). If you're at the conference, this is worth a walk-by conversation to see how they quantify the pre-submission accuracy rates.

What to ask before you buy

What's the false positive rate on denial flags — and what's the workflow cost when a clean claim gets flagged and reworked unnecessarily? That's the number that doesn't show up in the press release.

Bottom Line

FinThrive is making a real product bet here — that AI-powered pre-submission scoring can meaningfully reduce avoidable denials at scale. The market has been trying to solve this problem for years. What's new is the scale of the training data and the continuous learning loop from live adjudication outcomes.

Whether Denials Prevention Manager delivers on that in practice will depend on model accuracy, integration depth, and how aggressively payers keep moving the goalposts. Watch for published outcome data over the next 12–18 months from early customers like Riverside.

Three out of five U.S. hospitals already use FinThrive. The distribution advantage is real — and it means this product has a faster path to adoption than a greenfield vendor would.