Summary
A global leader in cloud-based technology solutions for clinical research faced agility related challenges with respect to test case creation and coverage. Sonata’s GenAI based solution resulted in 40% faster test cycles on client’s research platform, which in turn will benefit more than 100+ stakeholders like business analysts, product owners, testers, and developers involved in the various clinical research products.
Client Overview
A global leader in cloud-based technology solutions for clinical research in the life sciences industry. With an annual revenue of over a few billion dollars, the client provides software platforms for managing clinical trials and research data.
Pressure Points
Long duration for the creation of test cases by Business Analysts, Product Owners & Testers
Suboptimal test coverage due to occasional oversight of relevant test cases
Absence of a streamlined solution for generating unit and functional test cases and code comments
Need support across multiple programming languages and integration with third-party tools like Jira
Solutions
Sonata’s solution includes implementation of client specific GenAI Framework & a few agreed upon use cases on the AWS landscape. Some of the implemented GenAI Framework modules include:
Responsible AI
Context Initialization/Session Management
Prompt Validation
Orchestration/ Execution Manager/Agent
Prompt Builder
Skill Registry
LLM Registry
LLM Services
App configuration
Authorization Module
Bedrock service for Gen AI response
Lambda service for creating framework components
RDS PostgreSQL is used as Database
Amazon Comprehend for RAI purposes
AWS Gateway for managing the endpoints
IAM roles and policies
AWS Cloud Formation for infrastructure automation
AWS Cloud Watch for observability
Results that Speak Volumes
Sonata's AI-powered test case generation solution accelerated the client's clinical research software development lifecycle, ensuring faster time-to-market and improved competitiveness. Additionally, the solution benefited over 100 team members in the clinical research department.
Implementing Sonata's AI-powered test case generation solution across all clinical research products is projected to yield $1 million in annual savings for the customer. This is attributed to decreased tester efforts and enhanced testing process efficiency
70-80% accuracy of generated acceptance criteria
>90% Test coverage
Overall Efforts Reduced (initial success)
- Per test case creation – 4hrs to 2.5 hrs
- Per test script creation – 8hrs to 5 hrs
Reducing the test cycle time by 40%
40% faster test case generation
50% reduction in test related efforts
Improved test case accuracy & test coverage
End-to-end process automation from user-story to generation of test scripts
