MicrosoftProductionEvidence: Medium50/100

Insurer Automates Claims with Generative AI and Robotic Process Automation

Use case typeClaims automationUpdated Jun 13, 2026

This case describes how insurance companies automate claims processing by integrating SS&C Blue Prism's enterprise AI, generative AI, and Robotic Process Automation (RPA) with Microsoft Azure. Previously, claims handling was slow and error-prone because adjusters manually entered and verified data, leading to delays and dissatisfied customers. Enterprise AI now automates repetitive tasks, facilitates document review and summarization, and securely accesses data sources to create a single source of truth. Generative AI extracts key details from lengthy accident declarations, summarizes data, and populates claims systems, increasing accuracy and speed. The solution delivers audit trails, end-to-end process compliance, reduced manual errors, and enhanced customer notification and experience. The technology allows real-time fraud detection, automates low-risk claims, and provides analytics for fraud prediction and prevention. Integrations also support AI chatbots, IoT/telematics notifications for new claims, and computer vision for damage verification and estimation. The implementation has reduced claim cycle time by 20 minutes per claim, improved customer satisfaction, and freed adjusters for complex tasks.

Organization
Frende
Industry
Insurance
Location
Global
Published
May 2024

Reported outcomes

Time: 20 minutes

Time & speed

Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Time: 20 minutes decrease

blueprism.comMay 3, 2024Blog postInferred claimMedium evidence strength

Reduced claims processing time by 20 minutes per claim.

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
Customer
Frende, SS&C Blue Prism
Provider
Microsoft
Maturity
Production
Linked source
blueprism.com

Limited automation capabilities hampered operational efficiency and real-time insights

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 3

  • 1Automated End-to-End Claims Processing
  • 2AI-Powered Document Review and Data Extraction
  • 3Fraud Detection via Predictive Analytics
  • Integrated SS&C Blue Prism's Enterprise AI and RPA solutions with Microsoft Azure.
  • Used generative AI to automate document review, data extraction, and claims entry.
  • Enabled automated customer notifications, fraud detection, and audit trails via AI.
  • Augmented claims processing with chatbots and computer vision for document and image verification.
  • Reduced claims processing time by 20 minutes per claim.
  • Eliminated manual errors in claims review and data entry.
  • Improved customer satisfaction and retention by accelerating settlements.
  • Freed up human adjusters for non-routine, complex casework.
Architecture

Enterprise AI acts as the orchestrating layer, with robotic process automation handling structured data tasks. Generative AI (on Azure) reviews accident declarations, extracts details, and populates the claims system. Computer vision is used for document/image verification. AI chatbots notify customers and handle inquiries. IoT/telematics trigger new claims. Fraud detection models run analytics to flag suspicious claims, and the whole process creates an auditable compliance trail.

Sources & evidence1
Evidence: Medium50/100Evidence strength
  • Customer explicitly identified
  • Deployment status explicitly supported
  • Quantified outcome available
  • Technical implementation details available
Type: Blog PostPublished: May 3, 2024Publisher: blueprism.comEvidence: VendorConfidence: Medium

AI-generated summary. Verify important details with the linked sources before relying on this case.

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