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Healthcare

Build document agents for healthcare

Approvals, claims and policy documents move on paper and scans while the clinical systems stay separate. NourSoft builds agents for that administrative layer — within a defined scope.

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Challenge

The administrative layer runs on paper.

  • Insurance approvals and claims arrive as scans and completed forms
  • Policy, accreditation and procedure documents are revised faster than they are read
  • Consent and authorization forms are filed, then difficult to produce on request
  • Administrative and clinical records are governed under different rules
Solution

Automate the paperwork, not the clinical judgement.

  • Read approval and claim documents into structured, checkable fields
  • Keep the current version of a procedure retrievable, with its revision history
  • Index consent and authorization forms so they can be produced on demand
  • Apply permission-scoped retrieval that respects each record’s classification
Use cases

Agents for common administrative workflows

01
Approvals Assistant
Extracts fields from insurance approval requests and their attachments.
02
Policy Librarian
Serves the current accredited procedure, with what changed before it.
03
Consent Finder
Retrieves a signed consent or authorization on request.
04
Evidence Retriever
Returns guideline evidence from within approved, licensed content.
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
طلب موافقة تأمينية مطالبة نموذج موافقة دليل إجراءات وثيقة اعتماد
Correspondence
طلب موافقة خطاب قبول أو رفض مخاطبة شركة تأمين تعميم إداري
Workflow
طلباستيفاءمراجعة إداريةموافقةصرفأرشفة
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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