Insurance

Build document agents for insurance

A claims file arrives as a scanned PDF, a set of photographs and a handwritten assessor note. NourSoft builds agents that read all three, pull the fields that matter, and show where each one came from.

Request a Demo

Challenge

The file is complete. It just is not readable by anything.

Claims arrive as scans, photographs and forms with no consistent structure
Policy wordings are long, and customers ask questions the wording already answers
Compliance review happens after submission, by sampling
Inconsistencies across a claim history are caught by whoever happens to notice

Solution

Read the whole file, not the parts that were typed.

Read scan, photograph and handwritten note together into one structured record
Answer a policy question from the wording itself, with the clause cited
Check filings continuously instead of sampling them afterwards
Compare a claim against its own history and flag what does not line up

Use cases

Agents for common insurance workflows

Claims Assistant

Extracts claim fields from forms, photographs and assessor reports.

Policy Explainer

Answers a question from the policy wording, citing the clause it came from.

Compliance Tracker

Watches filings and disclosures against the requirements that apply.

Consistency Monitor

Flags mismatches across the documents inside a single claim.

Arabic document reality

The documents this actually runs on.

Generic pipelines describe documents in the abstract. These are the artefacts, correspondence patterns and approval chains the work is really made of.

Document types

وثيقة تأمين مطالبة تقرير معاينة فاتورة علاجية مخالصة

Correspondence

إشعار مطالبة طلب مستندات خطاب تسوية خطاب رفض

Workflow

إشعارفتح مطالبةمعاينةتقييمتسويةإغلاق

Why NourSoft

What makes an agent trustworthy here.

Arabic before anything else

Arabic reading order, mixed Arabic/English pages and local terminology are handled as a core capability, not a localisation layer added afterwards.

It stays where your policy says

On-premise, isolated, private or national cloud, or hybrid. The deployment model is a governance decision, not something a vendor imposes.

Answers carry their source

Every extracted value can be traced back to the page and region it came from, so an answer can be checked rather than trusted blindly.

Confidence, stated honestly

Fields are marked high confidence or needs review. What needs a human goes to a human, instead of being reported as a number.

One layer, not five tools

Ingestion, understanding, extraction, governance and retrieval in a single pipeline rather than five products stitched together.

Built to sit beside what you run

Designed to work over existing content, storage and data platforms rather than requiring you to replace them first.

How it works

From a scanned page to an action you can audit.

Connect

Reach into the repositories, shares and systems where the documents already live — no migration project first.

Understand

Recover the structure of the page, then read it: layout, tables, Arabic and English text, signatures and stamps.

Act

Extract into a defined schema, classify, route, validate and log — with anything uncertain sent for review.

Govern

Identity, classification, policy and audit apply to the derived knowledge, not just to the source files.

Deployment

Runs inside your environment.

NourNexus is designed to support alignment with Saudi data governance and cybersecurity requirements. NourSoft makes no claim of NCA, NDMO or SDAIA certification on this page — any certification statement will be published only against documented evidence.

Next step

Bring a real document set.

The fastest way to judge this is on your own content, under your own governance constraint. We will show you what the platform reads from it, and where that processing runs.

Request a Demo