Recovery Intelligence
Missed recovery detection for claims you already closed.
Every insurance and healthcare organization we talk to has the same problem: the closed-file mountain keeps growing, and the recoverable dollars buried inside it quietly age out of their statute or contractual windows. ARBS Recovery Engine reads that mountain — subrogation, overpayments, salvage, duplicate billing — and hands you a ranked list of what to go pursue.
What most organizations get wrong on recovery today
The first hundred people who touched a claim each generated a small fragment of financial evidence — a police citation on page seven, a cancelled check reference in an adjuster note, a drivable vehicle flagged inside a total-loss settlement. No single person ever sees all the fragments together. The recovery signal is already there; it's just not visible.
Operational tools make claims move faster. They don't reconstruct the financial truth of a closed file. That's the gap: a closed file looks done to the adjudication system, even when there's real money left on the table.
How ARBS Recovery Engine finds it
ARBS uses governed AI to read the full file — every PDF, every adjuster note, every attachment — and reconstructs the financial truth of the claim. Candidate recoveries surface with verbatim evidence quotes, exact document locations, a confidence score, and a statutory or contractual deadline inferred from the dates on file. Missing evidence that would strengthen each recovery is ranked and listed so your team knows exactly what to gather before sending a demand.
A human reviewer sees every candidate before any recovery action moves. Approve, reject, or request more information — the system never pursues money on its own, and the reviewer's decision feeds back as a learning signal for the next pass.
Every recommendation includes cited evidence, reviewer action, decision history, and an audit trail your compliance team can inspect. When a regulator or an adverse carrier asks “how did you get to that number,” you can reproduce it line by line.
Closed-File Recovery Assessment in 14 days
No integration required. Hand us a CSV of your historical claims; we'll hand back a ranked list of expected recoverable dollars, sorted highest-impact first, with referral packages your recovery team can act on the same day — inside a 14-day Closed-File Recovery Assessment. If the economics don't work, you keep the findings and walk.
What makes us different
- Evidence grounding with provenance. Every recommendation ties to a specific document location. Generic AI gives you plausible text; we give you citations a recovery specialist can take to a demand letter.
- Governed audit trail. Cited evidence, reviewer action, and decision history are persisted on every recommendation. Reproducible for regulators, adverse carriers, and your own compliance team.
- Per-client learning memory. The system learns your organization's thresholds and your reviewers' historical decisions. Generic AI resets every session; we get sharper every week.
We focus on a narrower, governed recoveries wedge that existing platforms don't solve well enough for our target buyer.
Ready to see it on your own closed claims?
We're scoping a small number of Closed-File Recovery Assessments each quarter. Give us CSV in; we'll hand back a ranked list of recoverable dollars — with audit trail and referral packages attached.