Catalog record · Fraud Detection & AML
Stage as of Not reported · historical report, not live reconfirmation.
Global Sanctions Manager AI-assisted alert clearing
Vendor workflow source. A reviewed supplier account names the customer and workflow. Supplier attribution and deployment claims are not independent outcome validation.
Last researched Nov 8, 2026. Source access and reported stage are recorded below; deployment evidence does not establish ROI.
What the research supports
JPMorgan uses supervised machine learning with prior-decision matching and Pega workflows to triage and clear sanctions-screening alerts and route remaining cases for review. JPMorgan speakers distinguish this sanctions and client screening workflow from subsequent AML transaction modeling.
- Reported stage
- Production
- Technology
- Machine Learning (supervised decision trees)
- Business function
- Middle Office
- Impact (legacy label)
- Not labeled
- Catalog date · unconfirmed
- Not reported
- Imported
- Nov 8, 2026
- Last researched
- Nov 8, 2026
Measures & evidence
No quantified measure recorded. This is a gap in the evidence, not a finding of no value.
Documented vendor relationships
JPMorgan speakers describe Pega case management and workflow in Global Sanctions Manager, including AI-assisted false-positive alert handling.
Pega · Source publication date not disclosed
Source & relationship limits
Customer presentation hosted by the supplier in 2024; no exact publication date. The workflow is sanctions/client screening, not a claim about every AML system or underlying model supplier.
Pega · Publication date not disclosed · Source reviewed
PegaWorld iNspire 2024: Managing Sanctions Alerts with AI at ScaleDeployment evidence & limits
JPMorgan speakers at PegaWorld 2024 describe deployed Global Sanctions Manager sanctions/client-screening workflows using supervised decision trees, prior-decision matching and human escalation. Status as of 2024.
Stage is as reported in the cited evidence. Current operating status has not been independently reconfirmed; the research date is an editorial review date.
Speakers explicitly distinguish this workflow from subsequent AML transaction modeling; do not extend its evidence to generic AML/KYC claims. Event year 2024 is known; publication date is not. Automation outcome figures combine AI and other controls; no standalone AI accuracy or savings inferred.
Recorded dependencies
- Screening filters, labeled decisions, quality assurance and human escalation.
Source register
- PegaWorld iNspire 2024: Managing Sanctions Alerts with AI at Scalepega.com · opens in a new tab
Pega · vendor-case · full-text · Publication date not recorded
Research lanes: legacy-4 · Batch research-refresh-2026-11-08. Coverage and remaining gaps