Explainable AI Human-Machine Collaboration Accenture

No. 1 – Detecting abnormal travel expenses Most existing systems for reporting travel expenses apply pre-defined views, such as time period, service or employee group. While these systems aim to detect abnormal expenses systematically, they usually fail to explain why the claims singled out are judged to be abnormal. To address this lack of visibility into the context of abnormal travel expense claims, Accenture Labs designed and built a travel expenses system incorporating Explainable AI. By combining knowledge graph and machine learning technologies, the system delivers insight to explain any abnormal claims in real-time. No. 2 – Project risk management Most large companies manage hundreds, if not thousands, of projects every year across multiple vendors, clients and partners.