What challenges did Coforge face before AI implementation?

Manual insurance claims processing was labor intensive and slow. High volume of routine tasks reduced human agent efficiency. Fraud detection was insufficiently automated, increasing risk exposure. Providing personalized financial advice to clients was resource intensive. Need for improved security, transparency, and trust in AI-driven processes.

What was the impact of the AI solution?

Reduced claims processing time and manual workload. Improved accuracy of fraud detection. Freed human agents to focus on complex and atypical cases. Enhanced capacity to deliver personalized financial advisory. Supported new revenue opportunities for insurance and banking clients.

Source

MicrosoftLive source

Insurance and Banking Operations Improved with AI Automation

Use case typeClaims automationUpdated Jun 13, 2026

Coforge implemented Azure OpenAI Service to revolutionize operations in the insurance and banking sectors. Using advanced generative AI models like GPT-4 and GPT-3.5 Turbo, the company automated everyday processes, such as insurance claims processing and fraud detection, as well as enabled personalized financial advisory services. AI-driven automation now handles routine data extraction and claim evaluations, allowing human agents to concentrate on complex cases. Operational efficiency, security, and responsible AI have been prioritized with model fine-tuning for industry-specific customization. The solution demonstrates how Azure OpenAI can catalyze significant cost savings, new value creation, and enhance customer satisfaction by deploying intelligent automation at scale.

Organization: Coforge
Industry: Insurance
Location: India
Published: January 2024

Reported outcomes

Strategic outcomes

New product / capabilityAutomated insurance claims processingNew product / capabilityImplemented AI-based fraud detectionNew product / capabilityEnabled personalized financial advisoryNew business modelSupported new revenue opportunities

Primary read

Use case focus

Showing 3 of 3

1Automated Insurance Claims Processing
2Fraud Detection in Insurance Operations
3Personalized Financial Advisory Automation

Manual insurance claims processing was labor intensive and slow.
High volume of routine tasks reduced human agent efficiency.
Fraud detection was insufficiently automated, increasing risk exposure.
Providing personalized financial advice to clients was resource intensive.
Need for improved security, transparency, and trust in AI-driven processes.

Deployed Azure OpenAI Service with GPT-4 and GPT-3.5 Turbo.
Automated routine insurance claims data extraction and evaluation.
Implemented AI-based fraud detection workflows.
Enabled AI-powered financial assistants for tailored investment recommendations.
Utilized model fine-tuning for specific customer and industry requirements.
Ensured security and compliance with Azure enterprise-grade infrastructure.