It has read the entire file. Ask it anything.
Every claim file is a thousand pages no examiner ever finishes. OwlAssist reads them all and answers questions about the file in seconds, with citations to the page. The first hour of every claim, returned.
No. material conflict. Dr. Hsu (IME, 11/02) opines MMI at 12 months; Dr. Garber (treating, 10/14) records continued improvement and states “MMI not yet reached.”
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Examiner-hours OwlAssist has handed back to our customers, across the open book: reading, drafting, reconstructing, reconciling.
Reading the file.
A 1,400-page disability file, summarized in 11 seconds: every diagnosis, every restriction, every shift in functional capacity, with the page on the right when you click.
Drafting the response.
First drafts of denials, reservations of rights, demand-letter rebuttals, examiner notes, in your voice, on your template, with the file behind every claim.
Reconciling the contradiction.
Two physicians disagree. Three depositions overlap. The IME and the treating-physician note diverge. OwlAssist surfaces the gap and quotes both sides.
From a 1,847-page file to an answer your examiner trusts on first read.
Not a chatbot bolted on a search box. A four-stage pipeline built for insurance: read every page once, reason like a senior examiner, cite back to the file, answer where your team already works.
Every page of every document. Once, comprehensively, on ingest.
OwlAssist sits on top of OwlVision's structured file: every medical, IME, deposition, recorded statement, treatment note, lien, demand letter, prior claim. Each page is parsed, normalized and indexed at character level. The model never re-reads at query time; it queries an evidence graph it already understands.
Up to 12,000 pages per claim
Text, tables, scans, handwriting
Indexed once on ingest, kept fresh
Four kinds of asks, answered on every claim.
Built with senior examiners across BI, WC, LTD and P&C. Anything you ask falls into one of these four, answered the same way every time: cited to the page, refused if unsupported.
Read
- —Three-sentence file summary, written for the file owner.
- —Executive summary for the supervisor signing off on closure.
- —Coverage summary for outside counsel: policy and endorsements only.
- —Plain-English summary for a claimant phone call.
Find
- —Find every page where the claimant references prior injuries.
- —Where in the file does anyone state full-duty release?
- —Quote every paragraph mentioning the loss of consortium claim.
- —Pages discussing return-to-work attempts since 2024.
Analyze
- —Chronology of every functional-capacity change since DOI.
- —Map every diagnosis code to the document and date it first appeared.
- —Where do the IME and treating-physician notes disagree?
- —Reconcile the recorded statement against the deposition.
Draft
- —Draft a rebuttal to the demand letter, in our house voice.
- —First draft of a reservation-of-rights letter, for the supervisor.
- —Examiner-diary entry summarizing the last 30 days of the file.
- —Internal memo to the SIU lead: what's anomalous, cited.
The colleague that lives inside the system your team already uses.
OwlSignal is not a separate inbox to check. It runs on top of the file your team already has open, and it sends the right flag to the right queue (recovery, SIU, supervisor, legal) in the system your team already works in.
- —GUIDEWIRE
- —DUCK CREEK
- —ORIGAMI
- —SNAPSHEET
- —OWL CONSOLE
- —MS TEAMS
A Tier 1 property and casualty insurer paired OwlAssist with Owl.co’s document processing platform
Adjusters were buried in paperwork. A single claim spanned forms, medical records, repair estimates, and police reports across email, fax, and an aging system, with roughly 40% of the week lost to manual data entry. With OwlAssist, an adjuster opens a claim file and asks in plain language, with answers grounded in the file’s documents. For example: •“What’s the total of all medical bills submitted so far, and are any dates of service missing?” •“Build a table comparing the three repair estimates by line item.” •“Summarize the police report and flag anything that contradicts the
“I can open a claim file and just ask it what I need to know: ‘what’s the gap between the two repair estimates,’ ‘build me a table of every medical bill by provider.’ It reads the whole file and answers instantly, with the source pages right there so I can double check. That used to be twenty minutes of digging.”
The questions claims leaders ask before they trust the colleague.
OwlAssist needs a structured file with page-level citations. OwlVision is the natural foundation (it builds that file from raw documents) but Assist can also run on top of an existing structured layer (your CMS, an existing extraction tool) provided that layer carries page anchors. Most customers run both.
Bring us a closed file. We'll show you what it would have answered.
The fastest way to see what OwlAssist does is to hand it a closed claim file and ask it the four questions you wish you'd had answered when the file was open. Run under NDA, with a claims engineer, not a sales team.