From AI uncertainty. To AI governance. Built for compliance.
2 FTE
Lean delivery model
Future-ready compliance
Alignment with AI governance and regulatory requirements
The challenge
As AI becomes increasingly embedded in banking operations – from fraud detection to customer engagement – financial institutions face a new set of risks. AI systems introduce challenges around transparency, bias, drift, explainability and security that extend beyond traditional software quality assurance.
The organisation needed a structured approach to AI testing and governance that would help ensure compliance with emerging regulations while maintaining confidence in the deployment of future AI initiatives.
Finally, a concept was developed for an AI-powered chatbot solution to support software development activities.
The solution
Expleo assessed existing quality assurance and testing processes, focusing specifically on the introduction of AI-powered systems.
Building on this analysis, we developed a dedicated set of AI testing guidelines designed to identify, assess and mitigate AI-specific risks. These guidelines established a structured framework for testing AI applications throughout their lifecycle while ensuring alignment with both industry standards and regulatory expectations.
We created AI methodology guidance for test managers and testing teams, including practical metrics, approaches and supporting tools. We also worked across multiple functions to harmonise quality assurance, project management, software development and risk management processes, creating a consistent governance structure for future AI programmes.
Finally, a concept was developed for an AI-powered chatbot solution to support software development activities.
Expleo accelerator
The outcome
The organisation now has a dedicated framework for quality assurance and monitoring of AI systems, giving teams a repeatable approach to managing AI-related risks.
The organisation now benefits from clear testing guidelines, risk mitigation approaches and tool recommendations that support responsible AI adoption. Cross-functional alignment between quality assurance, software engineering, project management and risk management teams has strengthened AI governance across the business.
Most importantly, future AI projects can be delivered with greater confidence, transparency and regulatory readiness.
Responsible AI starts with responsible assurance. By embedding governance into testing, organisations can innovate with confidence
How did we help?
The client required a partner capable of bridging the gap between software quality assurance, risk management and emerging AI regulations.
Expleo combined expertise in quality engineering, regulatory compliance and AI assurance to create a practical governance framework that could be integrated into existing operating models. The result is a scalable approach to AI governance that supports innovation while maintaining trust and compliance.
What made this uniquely Expleo
AI-specific quality assurance expertise
Regulatory and governance-focused approach
Integration into existing testing and delivery processes
Cross-functional alignment across risk, development and project teams
Practical frameworks designed for real-world AI adoption
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