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BFSI12 weeks

KYC and Claims Document Automation for UAE Banks and Insurers

KYC document automation reads the onboarding or claims pack — Emirates ID, passport, trade licence, claim form, bank statement — extracts each field with its own confidence score, posts the confident fields to the core system and routes the rest to a reviewer with the source highlighted. Every extraction is logged with the model version and the approver, which is exactly what an audit asks for.

A KYC pack — Emirates ID, passport and a scanned form — read into structured fields with a confidence score each; the one low-confidence field is routed to a human reviewer
Illustrative — drawn in-house; figures show the shape of a result, not a published client result
A note on what follows. This is a delivery pattern, not a published client result. The approach is exactly how we'd run it; the metrics are left blank because Brolly.ae has not yet completed and published a UAE engagement of this type. We'd rather show you an empty column than a fabricated one.
Challenge

The situation

A team reads incoming PDFs and scans, keys the fields into the core system, and flags anything unusual. Volume grows every quarter; headcount can't.

Approach

What we'd do

  • Classified the real document mix first — the tail was larger than anyone expected
  • Extraction pipeline with confidence scoring per field, not per document
  • Anything below threshold routes to a human reviewer with the source highlighted
  • Full audit log: what was extracted, by which model version, and who approved it
  • Reviewer corrections feed back as evaluation data
Context

Why this pattern matters in the UAE

UAE banks and insurers onboard customers under Central Bank of the UAE KYC and anti-money-laundering obligations while document volumes grow faster than headcount. Intelligent document processing does not take the human out of the loop; it takes the human out of the fields that never needed one and keeps a signed audit trail for the rest. Data stays in UAE or EU hosting regions, in line with the PDPL.

Metrics we baseline

MetricBeforeAfter
Documents auto-processed——
Average handling time——
Field-level accuracy——

We measure the "before" for two weeks before anything is built. Without that, the "after" is an opinion.

Next step

Tell us the workflow that costs you the most.

A 30-minute call, no deck. If we don't think we're the right fit, we'll say so and point you somewhere better.