Explainable AI in the hands of financial services

Thanks to eXplainable AI, integrated with legacy rules, our solution can identify human behavior and suggest potential fraud while identifying new patterns in fraudulent operations. We offer vertical solutions for claims for detection – e.g. an integrated anti-fraud solution related to road accidents – and for antimoney laundering – by combining the rules imposed by legislators, domain expert knowledge, and insight emerging from machine learning analysis of data. Two shortlists are created: the first with flagged transactions, as required by law, and the second with potential suspect cases. The results are expressed in clear explainable rules, so fraud analysts can understand the reasoning behind all proposed decisions.

In the initial stage it is crucial to understand the risk associated to credit. Our solution allows institutions to improve the risk validation process thanks to the use of explainable algorithms. By combining traditional methodologies with machine learning logic, institutions can now integrate historical decisions on policy rules and manage approvals and exceptions with improved precision.

Cross-selling is one of the biggest opportunities for sellers. Everyone knows that it is easier to sell products to existing customers than to attract new ones. Why? The customer trusts you, and knowing his preferences means you can offer the right product at the right time. Thanks to our eXplainable AI and augmented decisioning, we can support your marketing departments in offering the best products to the right people.