Year in Review: Claims Administration Trends in 2025

Every December we sit down and ask ourselves what actually moved in claims administration this year, as opposed to what merely got talked about. 2025 gave us plenty of both. So before the calendar turns, here is our honest read on the year from where we sit, which is on the same status calls and implementation kickoffs that you sit on.

The headline most people noticed was money. Private equity kept buying TPAs, and the pace did not slow. We watched several administrators we have known for years change hands, sometimes twice. For the plans those TPAs serve, consolidation cuts both ways. A bigger parent can mean deeper pockets for technology and more bargaining weight with networks. It can also mean your dedicated service team gets reshuffled, your roadmap gets reprioritized around someone else's portfolio, and the platform you were promised slips a few quarters to the right. We are not anti-consolidation. We are just blunt about the fact that the org chart above your administrator now matters to your members, whether anyone told you that or not.

AI in adjudication: real, but smaller than the headlines

Let us talk about the thing everyone asked us about all year. AI in claims is real, and it earned its keep in 2025, but it did not do what the louder vendors implied it would. Nobody we respect is letting a model pay claims unsupervised. What actually worked was narrower and, frankly, more useful: routing pended claims to the right examiner, flagging the line items most likely to need a manual touch, summarizing a messy claim history so a Customer Excellence Representative is not reading raw 837 segments to answer a member call. That is genuine value, and it compounds. It is also not the same thing as adjudication.

Our own view has not changed much. If a claim can be paid cleanly against the benefit configuration, it should auto-adjudicate, and it should have been auto-adjudicating long before anyone trained a model. Good edits, a tight block-of-business setup, and accurate eligibility files get you most of the auto-adjudication rate you actually want. AI helps with the residue: the pended claims that used to land in a queue and wait for a human to make sense of them. We would rather help you push your clean auto-adjudication rate up by fixing configuration than sell you a model to triage problems that better setup would have prevented.

A short way to think about where AI helped this year, and where it did not:

• Worth it: prioritizing the manual-touch queue and surfacing likely duplicates before an examiner ever opens them.
• Also worth it: drafting plain-language answers off claim and EOB data so service staff are not decoding segments live on a call.
• Mixed: predicting denials before they happen, which is only as good as the data you feed it and tends to overpromise.
• Not yet: anything that quietly approves or denies dollars without a person who can be held accountable for the decision.

Cost pressure never let up

Plans spent 2025 under the same squeeze as 2024, only harder. Specialty drug spend kept climbing, stop-loss renewals came in steep, and self-funded employers wanted to see exactly where their dollars went. That pressure lands on administration whether or not administration caused it. The plans that handled it best were the ones with reporting they could actually trust, run on demand, without filing a ticket and waiting a week. When a CFO asks why a category jumped, the answer should take an afternoon, not a sprint. We spent a good part of the year helping clients get to that kind of self-serve reporting, because cost containment starts with seeing the costs clearly.

APIs finally stopped being a someday item

Interoperability moved from slideware to something people put in contracts. For years, the real plumbing of this industry has been batch: nightly eligibility and enrollment files, 837 in, 835 out, ACH disbursement on a schedule. None of that is going away, and it should not. But in 2025 more of our clients wanted real-time API access alongside the batch jobs, so a partner system could check eligibility or pull claim status the moment a member asks, not the morning after. We have leaned into that, and we expect the demand to keep growing. The member portal and mobile app set the expectation: people who can see a claim move in real time stop accepting a one-day lag everywhere else.

Security became a board conversation

The breaches earlier in the decade scared this industry, and 2025 was the year that fear turned into governance. Cybersecurity stopped being purely an IT line item and became something plan boards and TPA owners asked about directly. The questions got sharper too. Not just whether you encrypt data, but where it lives, who can reach it, how fast you would know if something went wrong, and what happens to claims processing if a partner up the chain goes dark. Those are the right questions. We field them more often now in implementations, and we are glad to, because a payer that cannot pay claims during an incident is not really operating.

What we are carrying into next year

None of this changes the part of the job that has stayed constant across our 33-plus years. A plan still has to load groups accurately, pay claims correctly, get money out the door, and answer the phone when a member is confused about an EOB. We still stand up new clients on Series 3000 in roughly 3 to 4 months, still test the block of business in a real environment before a single live claim runs, and still measure ourselves on whether your auto-adjudication holds and your members get paid on time.

For 2026, our bet is simple. The consolidation noise continues, AI keeps getting quietly useful at the edges without taking over the core, and the plans that win are the ones whose administration is boring in the best sense: predictable, transparent, and hard to knock off course. If any of this year's themes have you rethinking your setup, we are happy to walk you through what a real-time test environment and a clean configuration look like on our platform. No year-end pitch. Just come see it work. Thanks for a good year, and we will see you on the next status call.