Xceptor's native machine learning can enhance traditional rules to improve the detection of fraudulent transactions. The model constantly learns, leading to increased confidence scores and a fully scalable fraud detection system.
How Maitland achieved genuine data automation and flexibility to manage new fund onboarding.
Our client had 6000 back office processes to automate, initially deploying RPA. RPA could only automate 1000, so Xceptor tackled those with semi-structured and unstructured data. Find out how to unlock the magic of automation across more processes.
How Miller’s scalable data management capability improved client service.
Benefits include: reduction in operational risk through satisfaction of regulatory requirements, cost reduction and multi-asset automation including credit, equity derivatives & FX.
Learn how BNY Mellon gained access to detailed, accurate and timely data and a single view of its operational landscape.
Read how Xceptor can digitise the contracts referencing Ibor rates and automate transition to RFRs
Using Xceptor, a process which previously took over three hours to complete has been reduced to less than 5 minutes.
Invoices come in many formats, the data needs to be easily ingested and transformed. Then it can be interrogated: checked for accuracy, validated against agreed fees and reconciled all as an automated process.
