From manual testing processes. To AI-assisted quality engineering.
End-to-end traceability
Connecting requirements, tests, automation and defects across the testing lifecycle
The challenge
A leading European digital bank was managing requirements, user stories and specifications across multiple systems, making test design time-consuming and difficult to scale. Creating functional test cases relied heavily on manual effort, while maintaining automation assets and analysing defects required significant testing resources.
As the testing landscape grew, maintaining traceability between requirements, test cases and defects became increasingly complex, impacting efficiency, visibility and coverage across the software development lifecycle.
The solution
Expleo implemented an AI-powered quality engineering framework that connects requirements, test assets, automation scripts and defects in a single traceable ecosystem.
Using information from existing tools including Jira and Confluence, the solution automatically generates functional test cases using recognised testing techniques, supports automation script generation, and provides AI-assisted defect analysis.
A knowledge graph maintains relationships between requirements, tests and defects, enabling impact analysis and full lifecycle traceability.
Human approval checkpoints are embedded throughout the process, ensuring governance and oversight while reducing manual effort.
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The outcome
The organisation transformed a largely manual testing process into an AI-assisted quality engineering capability.
Expleo helped the client improve efficiency across the testing lifecycle while maintaining governance and control. Teams gained greater visibility of the relationships between requirements, tests and defects.
This was achieved by automating test design, strengthening traceability, increasing test coverage, and using browser agents to automate scripts alongside AI-powered defect analysis to identify the root causes of defects (RCA).
How did we help?
Expleo combined quality engineering expertise with AI-powered innovation to enhance the client’s existing testing ecosystem.
Rather than replacing established tools and processes, the solution integrated with existing platforms and data sources, enabling teams to automate key testing activities while maintaining visibility, governance and control.
The result was a more connected and efficient approach to quality engineering that improved productivity and testing effectiveness across the organisation.
What made this uniquely Expleo
AI-powered quality engineering capabilities embedded within existing workflows
Automated generation of functional test cases from requirements and user stories
Generation of automation scripts using browser agents
End-to-end traceability between requirements, tests, automation assets and defects
AI-assisted defect analysis and impact assessment
Integration with existing tools including Jira, Confluence and Testiny
AI & digital transformation
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