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Meet Isaac, Your AI Agent for AML Transaction Monitoring

Isaac is an AI Agent that automates AML Transaction Monitoring (TM) alert review and streamlines case investigations. By reducing the manual effort of analysts and investigators, Isaac helps financial institutions speed up work while improving consistency and quality, avoid backlogs, and strengthen compliance. Isaac handles high-volume alert scenarios such as:

  • Structuring
  • Excessive or patterned fund transfers
  • Unexpected account behavior
  • Dormant account activity

Meet Isaac, Your AI Agent for AML Transaction Monitoring

Isaac is an AI Agent that automates AML Transaction Monitoring (TM) alert review and streamlines case investigations. By reducing the manual effort of analysts and investigators, Isaac helps financial institutions speed up work while improving consistency and quality, avoid backlogs, and strengthen compliance. Isaac handles high-volume alert scenarios such as:

  • Structuring
  • Excessive or patterned fund transfers
  • Unexpected account behavior
  • Dormant account activity

The challenge of AML Transaction Monitoring

AML TM is one of the most critical compliance functions—and also one of the most resource-intensive. Banks manually review millions of alerts monthly, with 80–85% being false positives. Yet up to 10-15% escalate to formal investigations, each requiring hours of manual data gathering, analysis, and documentation.

Key pain points:

  • Backlog buildup of alerts and cases
  • SAR filing delays
  • QA fix rates and returned cases
  • Narrative clarity and copy/paste overload
  • High staff costs and heavy regulatory scrutiny
 

Focus on the highest risk TM activity with Isaac

Isaac goes beyond basic alert triage—he automates and accelerates core investigative tasks to help your team zero in on what matters most.

As an AI Agent, Isaac:

  • Works alerts and investigations end-to-end, reducing manual effort and accelerating case resolution
  • Auto-escalates case-worthy alerts and clears low-value ones with supporting documentation
  • Executes core investigative tasks including transaction and counterparty analysis, adverse media research, and geographic risk review. Backed by human-readable justification and a confidence threshold
  • Compiles QC and audit-ready case files for every decision, ensuring transparency for examiners and regulators

    Isaac integrates with your existing TM system—he doesn’t generate alerts, he investigates them.

Why Automate AML Transaction Monitoring with Isaac

Efficiency
Reduces manual touchpoints and accelerates alert triage  and case investigation

Risk Mitigation
Applies alert and investigations procedures consistently. Speeds up risk identification and enables better human decision-making

Compliance Confidence
Provides transparent, documented decisions that satisfy auditors and regulators

Cost Savings
Cuts down on analyst/investigator hours spent on low-risk alerts and hunting/gathering, copy/pasting. 

 

Why Automate AML Transaction Monitoring with Isaac​

  • Efficiency
    Reduces manual touchpoints and accelerates alert triage and case investigation

  • Risk Mitigation
    Applies alert and investigations procedures consistently. Speeds up risk identification and enables better human decision-making

  • Compliance Confidence
    Provides transparent, documented decisions that satisfy auditors and regulators

  • Cost Savings
    Cuts down on analyst/investigator hours spent on low-risk alerts and hunting/gathering, copy/pasting.

     

Isaac is Built for Transaction Monitoring Compliance

  • Picks up alerts generated from surveillance monitoring systems and then investigates and evaluates the activity.
  • Automates for L1 transaction monitoring alert reviews, collecting data and either closing non-suspicious alerts or escalating them to an investigator.
  • Creates a case file of each decision supported by human-readable justification, supporting documentation, and a confidence threshold to maintain transparency for examiners and auditors.
  • Provides a consistent approach to alert review and investigation, as well as the quality of the alert narrative and supporting documentation.

Isaac’s responsibilities as an AI Transaction Monitoring Investigator

  • Picks up alerts generated from surveillance monitoring systems and then investigates and evaluates the activity.
  • Automates for L1 transaction monitoring alert reviews, collecting data and either closing non-suspicious alerts or escalating them to an investigator.
  • Creates a case file of each decision supported by human-readable justification, supporting documentation, and a confidence threshold to maintain transparency for examiners and auditors.
  • Provides a consistent approach to alert review and investigation, as well as the quality of the alert narrative and supporting documentation.
  • Integrates with LexisNexis, Thomson Reuters, Moody’s and other sources for enriching data, as well as NICE Actimize, Verafin, SAS, Oracle SCM, Fiserv, FIS and other Transaction Monitoring software

See Isaac at work

Request a demo today to get started!

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