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Real-time Transaction Monitoring Agent

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Detect suspicious behavior across accounts and geographies with AI-powered transaction monitoring that adapts in real time.

Key Value Props:

  • Minimize fraud losses with continuous monitoring
  • Reduce false positives using machine learning
  • Streamline escalation workflows and improve resolution speed
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Real-time Transaction Monitoring Agent

Why This Agent Matters

Problem
  • Rule-based fraud detection is outdated
  • Manual alert reviews take time
  • Growing transaction volume
Impact
  • Missed fraud or excessive false alerts
  • Delayed resolution, increased losses
  • Existing systems can't scale
How the Agent Helps
  • Learns patterns from data to adapt to new fraud tactics
  • Auto-prioritizes and escalates high-risk events instantly
  • Processes thousands of transactions per second

What the Agent Does
  • Monitors transaction streams in real time
  • Applies ML models to identify anomalies, fraud signatures, and unusual patterns
  • Scores and categorizes transactions based on risk level
  • Triggers alerts, blocks transactions, or passes to human analysts
  • Connects to your transaction database or payment system via API or event stream
What the Agent Does

Example Workflow

Input:
Transaction metadata (amount, timestamp, account IDs, device, geolocation)
Agent Action:
Assess transaction against behavioral models
Agent Action:
Assess transaction against behavioral models
Integration:
Sends an alert to the fraud case manager or blocks the transaction
Next Step:
Agent logs activity and provides risk explanation

Systems and Standards Supported
  • Core Systems: FIS, Temenos, Mambu, Oracle FLEXCUBE
  • Payments: SWIFT, ACH, SEPA, RTP, Visa, Mastercard
  • APIs: ISO 20022, Kafka Streams, REST, JSON
  • Security & Compliance: PCI DSS, SOC2, encrypted logs, role-based access
Systems and Standards Supported

Deployment Options
  • Formats: Stream-processing microservice or API plug-in
  • Deployment: Cloud-native, on-prem, or hybrid
  • Triggers: Real-time transaction streams or event triggers (e.g., login, large transfers)
  • Supports: Model versioning, audit logs, alert routing, rate limits
Deployment Options

Benefits & Measurable Outcomes

↓ Fraud-related financial losses
↓ False positives by up to 50%
↑ Transaction review speed
↑ Team capacity with fewer manual escalations
↑ Real-time decision-making at scale

Engagement Model
  • Start with a subset (e.g., P2P or cross-border transfers)
  • Connect to transaction logs or payment APIs
  • Train models on historical + live data
  • Expand to a full transaction monitoring stack

Options:

  • Hosted by Nextigent.ai
  • Deployed within your risk platform
  • Co-developed with your fraud analytics team
Engagement Model

Let’s deploy AI to secure your transactions in real time.

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