Industrial AI practice  ·  Gulf  ·  Arabic and English Reply within one working day
NLP (document processing / classification)

A mid-sized regional property & casualty insurer, ~1.2M active policies

Financial Services / Insurance

← All documented proof

The shape of this problem

The same judgment, made differently every time

The problem

Claims arrived as unstructured attachments - PDFs, phone-photo scans, handwritten forms - into a shared inbox, where 14 clerks read, classified, and keyed each one by hand. First-touch to adjuster assignment averaged 4.3 business days, and roughly 9% of claims were misrouted at least once.

What we built

We began with a two-week audit rather than a model, sampling 1,800 submissions to map where time actually went. Two findings reshaped the scope: 60% of volume came from four claim types, and most misrouting traced to a data-entry step, not a reading problem. We redesigned the routing workflow first, then built NLP extraction against the four high-volume types, running it in shadow mode until accuracy held above 94% on a live holdout.

What moved

Measure Before After
First-touch to adjuster assignment 4.3 days 7 hours on 72% of volume
Classification accuracy not measured 96.8%, versus a 91% human baseline
Misrouting 9% 1.4%

Misrouting

9% 1.4% 0% 100%

Figures are drawn from the practice's own delivery records for the engagement named, measured against the process that preceded it. They have not been through third-party audit, and none is presented as an average across clients.

We expected an AI tool. What we got first was an honest map of why our intake was slow - and fixing that before the model went in is why the numbers held.

Head of Claims Operations

Service line
Document & Request Triage
Partial, and say so in these words - the classification and routing machinery is in production; this specific application would be new. That sentence has never once cost a deal, and asserting otherwise would.

Start here

Which of the four is yours?

Tell us the documents and the monthly volume and we will send the two closest records, with the proof behind each and the honest note where the match is partial.

You get a reply within one working day, from the engineer who would do the work - not a sales sequence.