https://store-images.s-microsoft.com/image/apps.53853.1a64a41b-c364-406e-b236-c780d6b8468d.673d1476-b27e-4355-aac4-2f621021af07.09d099bb-1a18-4627-bc4b-a6dc4ef562b9
Enterprise-wide transaction monitoring orchestration powered by agentic AI.
Sensa AML Transaction Monitoring Agent is the orchestration layer for transaction monitoring workflows. It automates case progression by coordinating multiple worker agents, managing sequencing, dependencies, and HITL (human-in-the-loop) checkpoints for oversight. By centralizing case intake, triage, deeper investigation, and final packaging, the AML TM Agent transforms fragmented manual processes into a streamlined, auditable workflow.
AML Transaction Monitoring Agent
- Central coordinator for transaction monitoring workflows – automates sequencing of Summary, Web Research, Transaction Intelligence, RFI, Adjudication, and Narrative Agents
- Detection-engine agnostic – API driven and integrates with existing AML systems and case management tools
- Builds structured “Investigation Packages” that unify evidence and agent outputs
- Driving efficiency and trust in AML workflows, AML TM Manager Agent:
- Accelerates case handling:
- Early-exit flow for false positives with agent + human agreement
- Dynamic branching for deeper investigation when required
- Full orchestration of downstream agents (e.g., Workflow Audit, Evaluation Agents)
- Improves compliance and auditability:
- Transparent outputs and workflow run reports
- Consistency across Standard Operating Procedures-aligned decision logic
- Complete traceability of decisions and approvals
- Delivers enterprise-wide reliability:
- Configurable structured final outputs – investigative report and workflow report out of the box
- Configurable checkpoints for regulatory assurance
- Accelerates case handling:
Visão geral
https://store-images.s-microsoft.com/image/apps.29847.1a64a41b-c364-406e-b236-c780d6b8468d.673d1476-b27e-4355-aac4-2f621021af07.f26cda05-7c5f-4d3e-a837-15fd3945ceb2
https://store-images.s-microsoft.com/image/apps.41579.1a64a41b-c364-406e-b236-c780d6b8468d.673d1476-b27e-4355-aac4-2f621021af07.c3a29c06-a25e-4fa2-af45-ad574509c960
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