Attention to Explainability

At Qxplain, explainability is the foundation for managing the risks of advanced AI. We help financial institutions, fintechs, and technology providers make complex models understandable, governable, and safe for high-stakes financial decisions.

Our work combines deep technical expertise with independent judgement to support organisations as advanced AI moves from experimentation into production.

Our capabilities include:

• Independent model risk management and validation for machine learning, GenAI, and agentic systems

• Designing explainability frameworks that support transparent and defensible decision-making

• Advising on AI governance and control across the full model lifecycle

• Assessing risks, assumptions, and limitations in evaluation approaches, particularly for high-dimensional and evolving models

• Supporting organisations in operationalising monitoring, oversight, and auditability for advanced AI

Our work is informed by ongoing research into emerging risks in advanced AI, including high-dimensional models, non-stationary environments, and agentic systems. We translate academic and industry developments into practical approaches that institutions can apply in real-world decision environments.

We also share this knowledge through executive education and specialised programmes for professionals working at the intersection of AI, risk, and finance.

We support a growing community of practitioners, risk leaders, and technologists focused on the safe adoption of AI in financial services. Through training, events, and collaborative initiatives, we aim to advance professional standards and shared understanding in this rapidly evolving field.