TM Smart Alert Management (SAM) for Banks

Leverages advanced machine learning to improve efficiency

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Machine Learning model trained on STR/Non-STR label
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Intelligent risk-indicator engine leverages clustering to dynamically generate relevant risk indicators
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50 percent increase in operational efficiency of alerts management

Prioritises alerts and reduces operational noise

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Alert Score

 

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Alerts Inbox

Summary of all alerts with risk-wise categorization

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Fast Alert Disposition

Detailed customer-level information and aggregated risk score for faster decision making

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Smart Alert Prioritisation

Accurate risk scores with categorisation of false positives in LI, L2 and high-risk in L3

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Transparent AI

Patent pending XAI framework creates a ‘glass-box’ solution and provides local, global and contextual explanation of the machine-learning model

TM Intelligent Alert Detection (IAD) for Fintech Companies

Leverages an industry-first knowledge-base of typologies that provide the latest risk scenarios regardless of the country.

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Simulation Mode – Fully automated scenario testing & threshold tuning with manual override. Onboard new rules in days instead of weeks
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Automatic Rule-Generation - Auto-generated rules and thresholds
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Smart Assessment - Validate the thresholds and alert output for the typologies and deploy to production through the user-interface
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Effective risk-based alert detection

Over 500 thousand alerts processed

 

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Fewer and higher quality alerts with a powerful engine that detects suspicious transactions at a granular level
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50 percent reduction in time to onboard new scenarios

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70 percent reduction in ongoing maintenance effort

Time to reform your compliances

Kickstart your journey by exploring our products or request a demonstration with us

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