Advanced fraud detection algorithms that are proven to increase fraud detection and reduce the overall number of system alerts

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.

Implement A Fraud Strategy Within Minutes

 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 not10 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

Key Functionality

  • Automated machine learning model configuration and training triggered by arrival of new transaction and fraud data
  • Scoring against historical models for continual model monitoring.
  • Ingestion of active fraud strategy performance, both ML-based and manually authored rules
  • Identification of the best models and/or rules which maximise fraud detection
  • Identification of ‘delta’ changes required in active rule strategy to move to the optimal strategy
  • Secure API connectivity to aiRiskNet® ensuring changes can be implemented at the click of a button
  • Extensive audit trail of all models built, changes proposed, review procedures and changes implemented

Key Features


Can quickly and easily detect 80% of the fraud already being detected with a combined reduction in alerts


It can contribute to upwards of 20% reduction in fraud losses, compared with managing fraud manually

Cost Savings

80% of the fraud analyst team can be applied to other business areas due to the vast reduction in alerts.

Effective Detection

Produces highly effective rules, many suitable for immediate card blocking

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