01OwlVision · Workers’ compensation

Tier-1 claims AI. No Tier-1 headcount.

Adjusters carry 150 files and read maybe 30 properly. OwlVision reads all 150, 220+ document types, and hands back a cited summary in seconds. 11× faster. Count the hours.

- Duration- Protection- Test Data- Effort
30-minute scoping callUnder NDAYour own closed filesNo integration needed
Book a demo
02In production at
Unum
Sun Life
WSIB
Symetra
The Hartford
OneAmerica
Cooperators
Industrial Alliance
Canada Life
Voya
Dearborn
Unum
Sun Life
WSIB
Symetra
The Hartford
OneAmerica
Cooperators
Industrial Alliance
Canada Life
Voya
Dearborn
03What the back-test shows

The whole file, read before the diary is due.

Loss adjustment expense is the one line in the combined ratio you control directly. Carriers running OwlVision report more than 50% less internal prep time and lower outside-counsel spend, without touching headcount.

Read completely, in seconds

A 400-page comp file becomes a summary, a timeline and a list of flagged contradictions. Every fact is cited to its page, so the adjuster decides and OwlVision does the digging.

Templates written, not retyped

Summaries and template fields filled and cited automatically. 10–15 minutes saved per file, so diaries get worked instead of documented.

Written back to your CMS

Structured outputs land in Guidewire, Origami or Duck Creek. The same team closes more claims, faster, with fewer outside-counsel and IME dollars.

04Proof

Measured in production, not in a pilot deck.

Figures from Owl production deployments. Detail and methodology shared during the back-test read-out.

11×

faster file processing than manual review

96%

extraction accuracy on 18,400 hand-labelled documents

220+

document types, including audio, handwriting and nested attachments

3.2B

documents read across Owl deployments

05How the back-test works

Bring a closed quarter. Leave with the hours.

Scoping call to read-out · under two weeks

01

Pick a closed quarter

You choose the cohort: a quarter of closed comp files, de-identified as far as you need. Everything runs under NDA, inside a dedicated tenant, and your data never trains our models.

02

We run OwlVision on it

Every file read end to end: summary, timeline, contradictions, citations. No integration; a document export is enough.

03

You get the numbers

A read-out with a claims engineer: hours per file, accuracy against decisions your team already made, and what the summaries caught that the file review didn’t.

06Book a demo

Tier-1 claims AI. No Tier-1 headcount required.

The Hartford has a data-science team. You have a claims team. OwlVision gives you the same document AI they run, every page read, every finding cited, 220+ document types, without hiring for it. Pilots reach production readiness in under two weeks, and OwlVision writes back to Guidewire, Origami or Duck Creek natively. Grow the book without growing the adjuster count.

  • Every file in the quarter read end to end: summary, timeline, contradictions, citations
  • Accuracy checked against decisions your team already made
  • Hours per file, and the LAE impact across the quarter
  • A written read-out you can take to your VP or your board
Book a demo