Paul Solomon

At Xelix, we are committed to developing AI systems that are not only effective but also responsible in their design, implementation, and deployment. This paper outlines our approach to responsible AI, organised around the key principles that guide our work: reliability and accuracy, bias and fairness, inclusiveness, explainability, transparency, safety and accountability, and privacy and security. These principles ensure that our AI systems meet the highest standards of performance while also ...

Under the hood of Xelix's Accounts Payable Control Centre By combining rule-based algorithms and machine learning models, Xelix has become a leader in detecting anomalies within Accounts Payable data.