← Back to Case Studies Financial Services / Insurance

Insurance Software Leader Deploys AI Copilot Across 12 Products

How a leading insurance technology company democratized AI development, enabling 400 developers to build AI-powered features using Copilot Studio.

12 Products Enhanced
400 Developers Enabled
95% AI Features by Devs
<30s Query Response Time

The Challenge

As a leading provider of insurance software solutions, this company serves insurance carriers with a comprehensive suite of twelve software products covering policy administration, claims management, billing, analytics, and more. The insurance industry was demanding AI capabilities, but the company faced a significant bottleneck.

The traditional approach to AI development presented serious challenges:

  • A small data science team was the bottleneck for all AI features
  • 400 software developers couldn't contribute to AI functionality
  • Time-to-market for AI features was measured in months
  • The insurance industry faces an underwriter shortage requiring AI augmentation
  • New hires needed faster onboarding with intelligent assistance
  • Customers expected modern AI capabilities across all products

The company needed a way to embed AI capabilities across their entire product portfolio without creating an insurmountable dependency on specialized AI expertise.

The Solution

The company adopted Microsoft Copilot Studio to build a comprehensive AI copilot that could be embedded across all twelve insurance software products. The key innovation was using Copilot Studio's low-code capabilities to democratize AI development.

Copilot Studio Azure OpenAI Power Platform Custom Connectors Generative AI

Democratizing AI Development

The shift to Copilot Studio fundamentally changed who could build AI features:

  • Before: Only the data science team could implement AI functionality
  • After: 400 software developers can now handle 95% of copilot features
  • Data Science Focus: The specialized team focuses on complex AI challenges and model optimization

Embedded Copilot Capabilities

The copilot provides intelligent assistance across insurance workflows:

  • Underwriting Support: Instant answers to policy questions and risk assessment guidance
  • Claims Processing: AI-assisted claims evaluation and documentation
  • Policy Search: Natural language queries across policy databases
  • Training Acceleration: On-demand guidance for new employees learning complex systems
  • Customer Service: Suggested responses and information retrieval for support staff

"Copilot Studio changed our entire approach to AI. What used to require our data science team can now be handled by our regular developers. We went from AI being a bottleneck to AI being a capability we can deliver across every product."

— VP of Product Development

The Results

12 Products Enhanced

AI copilot capabilities are now embedded across the entire product portfolio, providing consistent intelligent assistance regardless of which product customers use.

Developer Enablement

400 developers can now build and maintain AI features, compared to relying on a small specialized team. This represents a massive increase in AI development capacity.

Sub-30 Second Responses

The copilot processes inquiries and actions in less than 30 seconds, providing the instant assistance users expect from modern AI.

Addressing Industry Challenges

The AI copilot helps address the insurance industry's underwriter shortage by augmenting human expertise and accelerating new hire onboarding.

Industry Impact

The insurance industry faces unique challenges that this AI solution helps address:

  • Underwriter Shortage: AI augmentation helps experienced underwriters handle more volume while maintaining quality
  • Complex Products: Intelligent search and guidance helps users navigate complex insurance products and regulations
  • Training Acceleration: New employees become productive faster with AI-powered assistance
  • Customer Expectations: Modern AI capabilities help insurers compete in a digital-first market

Key Takeaways

  • Democratize AI Development: Low-code tools let regular developers build AI features, removing bottlenecks
  • Embed Across Products: A unified copilot architecture provides consistency across product portfolios
  • Focus Specialized Teams: Let data scientists focus on complex challenges, not routine AI features
  • Address Industry Pain Points: Design AI capabilities around specific industry challenges
  • Measure Response Time: User adoption depends on fast, reliable AI responses

Technology Stack

  • Copilot Studio: Low-code platform for building and deploying conversational AI
  • Azure OpenAI Service: Enterprise-grade generative AI capabilities
  • Custom Connectors: Integration with insurance software products and data sources
  • Power Platform: Automation and integration layer

References

This case study is based on the publicly shared success story from Majesco:

Ready to Bring AI to Your Products?

Learn how Copilot Studio can help you embed AI capabilities across your software portfolio.

Get In Touch