FICO users are business users, not developers. When setting up rules or parameters, some coding is required, and the learning curve is quite steep. This is a disadvantage of FICO. Additionally, the offline analysis of transactions is not flexible. Transactions need to be flagged as fraud to show up in the analysis, making it difficult to identify false negatives. The Identity Resolution Engine (IRE), an extension to FICO Falcon Platform, is helpful. However, integration with FICO Falcon Fraud Manager can be challenging due to its rigid template and data format requirements. This can cause delays in development and integration, potentially postponing projects by a month or two. AI is another thing they could improve is how they create the data model for my bank's detection data. From what I understand, they already have the capability to do that. But the data being processed in my bank, the ones they can process, is not really much. Maybe it's just a mistake on my part. But in terms of AI other than machine learning that they've already implemented, I have not seen any significant use case.
