Government

Build document agents for government

Decades of Arabic records sit in paper archives, scanned repositories and systems that no longer speak to each other. NourSoft builds agents that read that estate, understand it, and keep it inside the Kingdom.

Challenge

The archive exists. Reaching into it is the problem.

  • Registry records span paper files, scanned images and three generations of system
  • Official correspondence is filed by the department that received it, not by subject
  • Appraisal and disposal committees work from spreadsheets rather than from the records
  • Search across departments does not exist — you ask a colleague, not a system
Solution

From an archive to an answer that cites its source.

  • Digitize and index the backlog in batches, not one document at a time
  • Classify correspondence by subject and issuing authority, wherever it was filed
  • Surface retention and disposal candidates out of the records themselves
  • One governed search across departments, with every answer citing its page
Use cases

Agents for common government workflows

01
Records Assistant
Finds the file, the version, and the authority a decision rested on.
02
Correspondence Router
Classifies incoming معاميم and خطابات and routes them by subject.
03
Retention Reviewer
Proposes appraisal, retention and disposal against stated policy.
04
Archive Digitizer
Runs bulk scanning, OCR and shelving across the paper backlog.
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
معاملات صكوك قرارات إدارية محاضر لجان وثائق تاريخية
Correspondence
معاميم خطابات رسمية تعاميم داخلية مخاطبات بين الجهات
Workflow
واردقيدإحالةدراسةاعتمادأرشفة
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.