CASE STUDY

Insurance Claims Automation with Hyland OnBase and Document AI

An AI-powered insurance automation platform combining Hyland OnBase, Document AI (OCR + classification + extraction), persona-based claims apps, workshop portal, fraud rules, reserve automation, and end-to-end workflow orchestration with two-way integration to core insurance systems.
Industry: BFSI (Banking Financial Services and Insurance)Region: 🇦🇪 UAE
Multi-insurer programme
Insurance Claims Automation with Hyland OnBase and Document AI
Multi-insurer programme — project overview

PROJECT SNAPSHOT

Client
Multi-insurer programme
Industry
BFSI (Banking Financial Services and Insurance)
Region
🇦🇪 UAE
Engagement
AI-Driven Insurance Operations Platform Implemented for ADNIC, Daman, Noor Takaful, Sukoon, Nasco
Technology
Scope
Claims registration, document capture and enterprise content workflows using Hyland OnBase and document AI described in the source
Business Challenge

Business challenge

High claim volumes, unstructured documents, fraud risk, and regulatory pressure made FNOL, claim registration, workshop coordination, and settlements heavily manual, fragmented, and slow.
Key Challenges

Fragmented process

High claim volumes, unstructured documents, fraud risk, and re

Operational friction

gulatory pressure made FNOL, claim registration, workshop coor

Governance and visibility

dination, and settlements heavily manual, fragmented, and slow.
What Neologix Delivered

Delivered solution

An AI-powered insurance automation platform combining Hyland OnBase, Document AI (OCR + classification + extraction), persona-based claims apps, workshop portal, fraud rules, reserve automation, and end-to-end workflow orchestration with two-way integration to core insurance systems.

Claims intake channels

Claims are received through the configured insurer intake channels.

Insurer-specific claim registration

Claim registration workflows process initial loss reports and claim types.

Hyland OnBase content workflows

Hyland OnBase manages claim documents and related workflow tasks.

Document AI capture and validation

Document AI extracts structured data from reports, licences and invoices.

Core insurance system exchange

Core insurance interfaces exchange relevant policy and claims data.

Audit and customer notifications

Audit trails and notifications support claim review and customer follow-up.
Solution Architecture

Solution architecture

The implementation links claimant and claims teams to Hyland OnBase and IDP, with core insurance interfaces and claims audit and alerts. The visual represents the high-level delivered workflow and boundaries described in project records.
Insurance Claims Automation with Hyland OnBase and Document AI architecture
Insurance Claims Automation with Hyland OnBase and Document AI — architecture overview
Implementation Approach

Implementation approach

Five stages of the delivery programme and business workflow.
01

Claims intake

Initial loss notices and supporting documents enter the claims workflow.
02

Document intelligence

OCR and document AI classify claim files and extract structured information.
03

OnBase workflows

Hyland OnBase coordinates claim content, routing and related work queues.
04

Insurance integrations

Two-way interfaces exchange claim and policy information with core insurance systems.
05

Review and settlement

Fraud checks, reserve handling and notifications support claim resolution.
Business Outcomes

Business outcomes

Outcomes recorded in the project source.
25–40%
Faster claim registration
20–35%
Shorter claims processing cycle
30–50%
Less manual data entry

Technology Stack

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