Generative AI

Transforming Guidewire Software Engineering with Generative AI-The Exavalu Way

Generative AI reshapes the way we think, with the insurance industry now embracing the potential of Generative AI. Exavalu has channeled the power of Generative AI to transform the Guidewire software engineering life-cycle. This is important since Guidewire is at the core of many P&C insurance businesses. Our GenAI-powered software engineering solution framework can enable product engineers to develop high-quality insurance products quickly and cost-effectively. Our approach closes the gap between IT and the business, making it easier for business users to play a more embedded role in the product engineering life-cycle.

Use Case Definition Based on Deep Knowledge of Guidewire and the P&C Business

We reviewed the Guidewire SurePath methodology across inception, development and stabilization. Using the knowledge from many successful Guidewire implementations, we identified two strategic themes to focus on:

  • Assurance of product quality
  • Efficiency of product engineering

We then identified a subset of focus areas under these two themes:

Assurance of product quality

  • Identification of the most complex functionalities that lead to code churn
  • Better enablement of developers and quality engineers
  • Collaboration between the business and IT for more precise risk coverage

Efficiency of product engineering

  • Acceleration of the speed of code development
  • Increasing the speed of test design and test data creation
  • Extending the value of AI to the business and people and helping them redirect their time to strategic product design

Based on this systematic analysis, we identified 4 use cases:

  • Defect pattern analysis to help assure product quality
  • An automated unit testing framework for Guidewire developers
  • Automated test design to assist business users
  • Automated test data creation to help business users, developers, and quality engineers

Collectively, these use cases cover the inception, development, and stabilization phases of Guidewire implementations, helping to ensure AI-powered acceleration and end-to-end quality. We have developed point solutions to address all of these use cases.

Use Case to Solution: A Comprehensive Journey

First, we continuously calibrated our approach through conversations with multiple clients. We wanted our solution framework to be a practical enabler for Guidewire implementation journeys. Customer feedback helped us refine our approach to ensure practical outcomes.

As we converted our conceptual design to executable solutions, we made sure to address:

  • User experience (with a focus on simplifying user inputs)
  • Smart use of Generative AI principles (chaining of prompts in the back-end)
  • Digital design (with the efficient use of APIs)
  • Best-fit public large language models (LLM) in the context of the particular use case (constant analysis of LLM outputs from OpenAI, Gemini, Claude for the use cases being optimized)
  • A concern for client costs (we optimized the use of tokens, relying more on pre-set libraries)
  • We maximized the use of our business knowledge (with test data created based on state and line of business requirements)

We have also created a framework to complete an accelerated pilot that covers:

  • Problem statement analysis
  • Solution identification and consensus
  • Cost benefit analysis
  • A step-by-step pilot execution plan
  • A primer for business users and IT
  • Commentary on security guardrails provided by public cloud providers for the LLMs (AWS Bedrock)

Conclusion

Exavalu’s GenAI-powered software engineering solution framework for the Guidewire eco-system provides a pragmatic way for insurance IT/business leadership to adopt Generative AI with minimal change management and strong assurance/engineering outcomes.
With Guidewire often at the core of P&C transformations, this can become a game-changer. We can also collaborate to identify additional use cases and co-create solutions specific to our clients’ needs.

About Author

Moulinath Chakrabarty is a client executive partner with Exavalu’s Insurance practice. He has 20+ years of Insurance experience, and specializes in advising Insurance carriers on best practices for driving digital transformations with Insurance core products at the center of such initiatives.

You can reach him at Moulinath.Chakrabarty@exavalu.com.