aiAutoPilot ML™ uses the machine to automate and optimise the Fraud Management process to ensure continual performance while monitoring and refining the fraud strategy, freeing up the fraud analyst from manual performance analysis.
It offers multiple solutions for fraud analysts to detect fraud trends and optimise rules automatically. aiAutoPilot ML™ uses the latest fraud detection algorithms that are proven to increase fraud detection and reduce the overall number of system alerts.
Instead of expanding your team to perform the same manual task continually, those same staff members can spend their time focussing on other critical priorities. aiAutoPilot ML™ ensures the best continual performance as the machine is always looking for improvements and to make changes to confirm this.
|Task||Manual Process||aiAutoPilot ML ™|
|Determine the performance of the current rules and models in the system and know where they are performing well or not||10 minutes per rule||N/A|
|Determine the best data filters to apply to detect as much fraud as possible whilst reducing the non-fraud data||0.5 – 1 day||N/A|
|Create machine learning rules and models using aiSmartScore and aiSmartRule from the filters||1 day per run||N/A|
|Put the rules and models into production||1 day per run||N/A|
View the next upcoming event below and get in touch with a member of the ai team.