
Insurance Claims Accelerator: From Paper Claims to Predictive Intelligence
A ready-to-deploy solution that automates manual claim intake and helps insurers process claims faster, catch fraud in real time, and keep every claim audit-ready.
Why Real-Time Claims Processing Is Critical for Insurers
The Breaking Point
Elevated cost per claim and long processing timelines directly affect profitability and customer satisfaction. Without straight-through processing for low-risk claims, throughput stays capped, and high-risk claims don't get the fast, focused investigation they need.
The Business Impact
Elevated cost per claim and long processing timelines directly affect profitability and customer satisfaction. Without straight-through processing for low-risk claims, throughput stays capped, and high-risk claims don't get the fast, focused investigation they need.
The Traditional Process
Claims data spread across SQL databases, SharePoint, and spreadsheets, with no single source of truth.
Staff spend significant time on repetitive data entry, validation, and fraud checks for every claim.
No straight-through processing means every claim, regardless of risk, waits on manual review.
Legacy systems don't connect cleanly with modern cloud-native tools, limiting innovation.
Real-Time Claims Processing Solution
4-6W
From Paperwork to Production
Ready-to-Deploy Platform
IQZ Systems engineered Insurance Claims Accelerator as a ready-to-deploy claims processing platform built on Microsoft Fabric. It brings together real-time claim events and batch policy data into a single, intelligent view, and uses Azure AI Foundry to read and enrich handwritten and scanned claim documents automatically. A dedicated project manager, four solution architects, and a data scientist take it from scoping to live production in 4 to 6 weeks, delivering an end-to-end claims processing solution with automated detection, approval, and quarantine from day one.

Core Capabilities Delivered
Unified Data, One View:
Structured, semi-structured, and unstructured data combine in one Lakehouse, so every claim is assessed against the full picture.
AI-Powered Document Processing:
Handwritten and scanned documents are read and standardized automatically, cutting manual transcription work.
Fraud Detection in Real Time:
Machine learning flags suspicious claim patterns as they arrive.
Governance Built In:
Microsoft Purview tracks data quality, lineage, and compliance, keeping claims data audit-ready.
Measurable Results: What Automated Claims Can Deliver
10–30%
Faster Claims Processing
Straight-through processing for low-risk claims cuts overall claims processing time by 10% to 30%.
5–10%
Fewer Fraud Losses
Real-time machine learning models flag suspicious claim patterns before they become losses.
24 HRS
Auto-Approval Time
Low-risk claims are automatically approved within 24 hours, with no manual review required.
40–50%
Less Manual Data Entry
Automated intake and validation cut the manual data entry claims adjusters handle by up to half.
50–80%
Less Manual Audit Time
Centralized governance through Microsoft Purview cuts the time CISOs and security teams spend on manual audits.
Technology That Scales
Our Insurance Claims Accelerator combines enterprise-grade reliability with the flexibility to grow as claim volume and policy complexity increase.
Scalable Lakehouse architecture that grows with claim volume and data complexity.
Integration-ready design that connects to existing policy and claims systems through Azure Event Hubs.
Cloud-enabled FinOps that keeps costs transparent and predictable as usage scales.
Enterprise governance that meets strict insurance industry compliance requirements.
Ready to Transform Your Claims Process?
Insurance Claims Accelerator gives your claims team a faster, smarter way to work. It cuts processing time, reduces fraud losses, and keeps every claim governed and audit-ready.
Frequently Asked Questions
Frequently Asked Questions about our Insurance Claims Accelerator
Insurance Claims Accelerator is a ready-to-deploy claims processing platform built on Microsoft Fabric. It combines real-time claim events and batch policy data into one view, automates document processing, and flags fraud as claims arrive.
A typical deployment takes 4 to 6 weeks from scoping to live production, delivered by a project manager, four solution architects, and a data scientist.
Insurance Claims Accelerator ingests structured data (SQL databases), semi-structured data, and unstructured documents like PDFs, alongside real-time claim events through Azure Event Hubs.
Yes. Microsoft Purview provides centralized governance, data lineage tracking, and access controls, giving CISOs and security teams full visibility into critical data assets and reducing manual audit time by up to 80%.
Insurance Claims Accelerator uses a logistic regression model. It was chosen after evaluating three model types, for its speed, consistent accuracy, and stronger fraud detection performance compared to Random Forest.
Insurance Claims Accelerator is listed at $75,000 on Microsoft Marketplace.