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Banking & Finance

Build document agents for banking & finance

Onboarding packs, credit files and compliance evidence arrive at whatever scan quality the branch had that morning. NourSoft builds agents that read them consistently and leave an audit trail behind.

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Challenge

Every file is slightly different. The review is not.

  • Onboarding packs vary by branch, by channel and by scan quality
  • A credit file mixes statements, contracts and correspondence in one folder
  • Compliance evidence is assembled for the auditor rather than maintained
  • Turnaround pressure and review depth pull directly against each other
Solution

Normalise the file before anyone reviews it.

  • Read onboarding packs into the same fields regardless of where they came from
  • Separate a credit file into its document types and extract per type
  • Keep the audit trail current as a by-product of processing, not a later exercise
  • Send only low-confidence fields to a person; let the rest clear
Use cases

Agents for common banking workflows

01
Onboarding Assistant
Extracts and validates identity and entity fields from the pack.
02
Credit File Reader
Splits and reads statements, contracts and annexes by type.
03
Evidence Keeper
Maintains the audit trail per transaction as work happens.
04
Exception Router
Sends only what falls below confidence to human review.
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
هوية سجل تجاري قوائم مالية عقد تسهيلات ضمان
Correspondence
طلب مستندات خطاب موافقة إشعار استحقاق مخاطبة رقابية
Workflow
طلباستيفاءتحققدراسة ائتمانيةاعتمادمتابعة
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.

01
Connect
Reach into the repositories, shares and systems where the documents already live — no migration project first.
02
Understand
Recover the structure of the page, then read it: layout, tables, Arabic and English text, signatures and stamps.
03
Act
Extract into a defined schema, classify, route, validate and log — with anything uncertain sent for review.
04
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.

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