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Overview

Enterprises often struggle with efficient testing and maintenance of Guidewire Insurance Suite applications using conventional methods. Such testing approaches demand significant time, resources, and skillsets making it difficult to keep pace with frequent updates.

To overcome these challenges, Infosys offers an automation solution powered by generative artificial intelligence (GenAI), which optimizes and accelerates Guidewire quality engineering (QE) processes.

Infosys leverages its AI platform to automate key stages of the Guidewire testing lifecycle. The solution combines GenAI with a structured workflow to automate the generation of key testing assets.

1.

Leverages LLM capabilities and embedded, context-sensitive learning extracted from client-specific knowledge databases, such as user guides, user stories, test cases, Guidewire testing automation frameworks, automation scripts, and object repositories

2.

Provides a set of predefined prompts

3.

Facilitates smooth integration with test management suites and code repositories, including Jira, QTest, and GitHub

4.

Incorporates quality engineer reviews to enhance accuracy and reduce operational overheads

5.

Enables the creation of custom workflows by integrating components such as:

  • Connectors

    Connectors: Jira Pull/Push and ADO Pull/Push, among others

  • Chains

    Chains: LLM chain, retrieval chain, and more

  • Utilities and tools

    Utilities and tools: Output parser, unstructured file loader

Infosys’ GenAI-driven solution for Guidewire QE provides:

  • AI-driven implementation that anticipates and resolves challenges before they emerge

    Fast-tracked creation of test scenarios, test cases, and automation scripts

  • AI-driven implementation that anticipates and resolves challenges before they emerge

    Enhanced test quality with comprehensive coverage

  • AI-driven implementation that anticipates and resolves challenges before they emerge

    Reduced testing costs and manual effort

  • AI-driven implementation that anticipates and resolves challenges before they emerge

    Increased efficiency in Guidewire application testing

  • AI-driven implementation that anticipates and resolves challenges before they emerge

    Accelerated time to market for Guidewire implementations and updates

Analyzes business requirements and generates user stories by referencing Guidewire user guides for applications such as PolicyCenter, BillingCenter, and ClaimCenter, along with custom implementation details

Creates detailed test cases automatically from generated user stories

Harnesses GenAI to generate automation scripts based on test cases using frameworks or scripting languages such as Python, Java, and Selenium

Executes automation scripts by implementing web agents

Embeds contextual data corresponding to Guidewire portal documents, including configuration files, XPath repositories, and testing frameworks

Quality engineers have the option to manually review GenAI user stories, test cases, and automation scripts to ensure quality. Until the model is thoroughly trained for client-specific context generation, we recommend human-in-the-loop (HITL) intervention to fine-tune training for enhanced model accuracy.

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Challenges & Solutions

The Infosys GenAI-powered solution automates the generation of test artifacts, significantly reducing testing time and effort.

The solution accelerates the generation and adaptation of test cases and automation scripts. It also supports impact analysis and test script updates in response to change requests or new requirements.

Once the model is trained and established using Infosys’ GenAI-powered solution, it reduces dependency on Guidewire professionals, thereby freeing up their bandwidth for value addition.