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AI-Driven Smart Transaction Monitoring System

Detect and manage potentially fraudulent payment activity in Pega with rule-based alerts, World-Check screening, and manual-compliance workflows.

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Overview

Modern financial institutions process high volumes of digital payments that are increasingly vulnerable to fraud, money laundering, and regulatory violations. Manual monitoring is inefficient, inconsistent, and non-scalable. There is a growing need for intelligent automation to: • Flag suspicious transactions based on business rules • Screen entities against global risk databases • Involve compliance officers only when necessary • Improve traceability, accuracy, and turnaround times for fraud detection Our application, built in Pega, addresses these challenges by automating Transaction Monitoring, integrating with World-Check for real-time screening, and enforcing standardized compliance workflows by flagging potential transactional vulnerabilities via Alerts and creating Investigation Cases for the flagged transactions.

Key Features

  • Automated case creation for inbound payments
  • AI-Powered Fraud Detection: Uses decision tables, rule-based logic, and historical trends to flag anomalies
  • Integration with World-Check for entity screening
  • Configurable Business rules for fraud detection (thresholds, duplication, profile mismatch, etc.)
  • Manual & compliance review workflows
=Maantic Inc.

Partner Name

Maantic


Tags


Offering Type

Component
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