AI Notification Platform for Anomalous Transaction Detection
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Solution Overview
Problem
Conventional systems lack the capability to effectively detect and respond to potential misuse of corporate funds through anomalous transactions, as they do not provide tools for actionable responses after alerting users to such issues.
Innovation Solution
An AI notification platform that utilizes machine learning techniques to create alert triggers based on user behavior, allowing customizable alerts, actionable responses, and strategic communication channels for notifications, enabling the AI engine to detect and respond to potential misuse by pausing or canceling transactions and requiring additional approvals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional systems alert users to anomalous transactions, then detection capability is improved, but actionable response capability deteriorates (systems lack tools for taking action with respect to individual transactions)
Solution Approach 1:
The system enables automated actionable responses where the AI engine can automatically pause, cancel, or escalate transactions based on detected anomalies. The system serves itself by implementing corrective actions without requiring manual human intervention for each transaction, thus providing both detection and actionable response capabilities.
Solution Approach 2:
The system implements a feedback loop where alert triggers are generated based on anomaly detection, and these triggers automatically initiate actionable responses. The system monitors the results of these actions and continuously learns from user responses to refine future detection and response mechanisms, creating a closed-loop system that improves both detection and response capabilities.
2Measurement precision
If the AI engine monitors a large universe of transactions, then detection coverage is improved, but system complexity deteriorates (complex webs of corporate payments)
Solution Approach 1:
The system segments the large universe of transactions into manageable groups based on alert trigger criteria and risk profiles. By dividing the monitoring scope into discrete, criterion-based segments, the system can effectively monitor comprehensive transaction volumes without being overwhelmed by complexity, as each segment can be analyzed independently using standardized evaluation frameworks.
Solution Approach 2:
The AI engine implements a universal monitoring framework that applies the same detection algorithms, alert trigger mechanisms, and response protocols across all transaction types and volumes. This multi-functional approach allows the system to handle diverse transaction complexities using a single unified system architecture, thereby improving detection coverage without proportionally increasing system complexity.
3Ease of operation
If the system provides multiple communication channels for notifications, then user notification effectiveness is improved, but device complexity deteriorates
Solution Approach 1:
The system implements a universal notification framework where a single communication module handles multiple notification channels (email, SMS, push notifications, in-app messages) through standardized protocols. This multi-functional approach allows the system to provide diverse notification options without requiring separate infrastructure for each channel, thereby improving notification effectiveness while minimizing the increase in communication infrastructure complexity.
Data Source
AI summary
An actionable alert platform is provided. The platform may utilize artificial intelligence (“AI”) to formulate alert triggers that inform a user regarding unusual activity associated with a target transaction. The platform allows a user to enter customized criteria for an alert trigger and actionable responses for remediating the detected alert trigger. In response to detecting an alert trigger, the platform may formulate and transmit push notifications to a mobile device of user. The user may implement the actionable response directly from within the push notification. The platform may also provide push notifications to the user that advise on a status of the target transaction after applying the actionable response. An AI engine may generate additional alert triggers based on the criteria entered by the user. The AI engine may generate the actionable responses for any alert trigger.