Episode 15

How AI Solves Delegation & Payment Errors in Healthcare Claims | Michael Riley (Gabeo.ai)

Inside the hidden financial leakage across health plans, IPAs and MSOs, and how AI agents catch it before cash leaves the door.

Guest

Michael Riley
Co-Founder & CPO, Gabeo.ai

Host

Muhammad Atif
President & CTO, PureLogics

Runtime

49 minutes
Video and audio

Watch the full conversation

Recorded for Better Health Tech. Also available on Spotify and wherever you listen.

A claim can be approved, processed correctly and paid, and still be paid by the wrong organization.

In value-based care, financial responsibility for a single claim is split between health plans, IPAs and MSOs through delegation contracts. The document that decides who pays for what is the DOFR, the Division of Financial Responsibility. When that contract and the claims system disagree, money leaks quietly: claims paid by the wrong party, services paid twice, and errors nobody sees until an audit, if ever.

Michael Riley, Co-Founder and Chief Product Officer of Gabeo.ai, joins Muhammad Atif to explain why traditional claims software misses these errors, how AI agents can read complex contracts and check every claim against them, and why a human stays in the loop when a single decision can be worth millions.

What the episode covers

Episode at a glance

Guest

Michael Riley

Role

Co-Founder & CPO, Gabeo.ai

Host

Muhammad Atif, President & CTO, PureLogics

Series

Better Health Tech, episode 13

Topic

Payment integrity, DOFR, AI agents for claims

Runtime

About 49 minutes

Inside the episode

Jump to any part of the conversation.

00:00

The healthcare payment mystery

How a correct, paid claim can still land on the wrong balance sheet.

03:15

Paid correctly, to the wrong party

How delegation means the right claim can be paid by the wrong organization.

07:40

The million-dollar question

Double payments and the financial leakage nobody is tracking.

12:10

Why DOFR contracts break in software

The gap between how contracts are written and how claims systems pay.

18:30

How AI reads complex contracts

Turning contract terms into rules and spotting payment errors claim by claim.

24:05

Human-in-the-loop

Preventing AI hallucinations when decisions are worth millions.

28:15

The founding story of Gabeo.ai

Why the team set out to fix payment integrity.

32:00

Rapid-fire Q&A

Denied versus incorrectly paid claims, and short answers to close.

Where the money leaks

Six places payment errors hide between the contract and the claims system, and what it takes to catch them before the money goes out.

Wrong-party payments

The claim is valid and paid correctly, but by the organization that was never financially responsible for it.

Double payments

The same service paid by both the health plan and the delegated group, because neither system sees the other.

DOFR drift

Contracts change, amendments stack up, and the rules configured in claims software fall behind.

Benefit and EOC mismatches

Payments that do not line up with the evidence of coverage or benefit grids they are supposed to follow.

Overpayments and underpayments

Line-level pricing errors that are small per claim and large across a year of volume.

Errors found too late

Problems discovered in a retrospective audit, after the cash has already left the door.

“A healthcare claim can be approved, processed correctly and paid, yet the wrong organization may still end up footing the bill.”

Better Health Tech, episode 13, with Michael Riley of Gabeo.ai

Three things to take into your next build

A paid claim is not a correct claim

Approval and payment only prove the claim was processed. Whether the right organization paid it depends on the delegation contract behind it.

Contracts have to become logic

A DOFR that lives in a PDF cannot be enforced by a claims system. Codifying it into versioned rules is what makes every claim auditable.

Keep a human in the loop

AI can check every claim against every contract, but decisions worth millions still need people to review and approve the rules and the findings.

Guest

Michael Riley

Co-Founder and Chief Product Officer, Gabeo.ai

Michael co-founded Gabeo.ai, which builds AI payment integrity software that audits claims against the contracts and policies that govern them. As Chief Product Officer he leads the product work behind that platform.

Gabeo works with health plans, IPAs and MSOs to codify delegated risk arrangements such as DOFRs into machine logic, and with providers to find recoverable denied and underpaid claims.

Host

Muhammad Atif

President and Chief Technology Officer, PureLogics

Atif hosts Better Health Tech, where he talks to the people building healthcare technology about what actually ships and what actually gets used. At PureLogics he leads custom healthcare and enterprise engineering work.

His interest across the series runs through this episode too: the gap between how a system is supposed to work and what actually happens when real money and real contracts are involved.

Why this episode matters

Most healthcare AI conversations focus on clinical care. This one follows the money. If you run operations, finance or technology at a health plan, IPA or MSO, the gap between your contracts and your claims system is a cost you are probably already paying.

The rapid-fire round

The episode closes with a rapid-fire round on denied versus incorrectly paid claims.

Questions people ask about this episode

What is a DOFR in healthcare?

A Division of Financial Responsibility is the part of a delegation contract that says which organization, the health plan, IPA or MSO, pays for each type of service.

How can a claim be paid correctly but by the wrong party?

The claim is valid and priced correctly, but under the DOFR another organization was responsible for it. The payment looks fine, so ordinary claims checks never flag it.

Why do traditional claims systems miss double payments?

The health plan and the delegated group often run separate systems. Neither sees the other’s payments, and contract rules are rarely fully configured in either.

How does AI help with payment integrity?

AI can read contracts, convert their terms into rules and check every claim against them, finding errors before payment instead of months later in an audit.

Why keep a human in the loop?

Large financial decisions need review. People approve the rules the AI builds and validate its findings, which guards against hallucinated or wrong conclusions.

Who should watch this episode?

Leaders in operations, finance, payment integrity and technology at health plans, IPAs, MSOs and provider groups working in delegated or value-based care.

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