Who should use the AML Screening workflow?
Teams or solo builders working on work tasks who want a repeatable process instead of one-off tool experiments.
AI Workflow · Work
Practical execution plan for aml screening with clear steps, mapped tools, and delivery-focused outcomes.
Deliverable outcome
Complete, auditable record of the AML screening cycle for regulatory inspection.
30-90 minutes
Includes setup plus initial result generation
Free to start
You can swap tools by pricing and policy requirements
Complete, auditable record of the AML screening cycle for regulatory inspection.
Use each step output as the input for the next stage
Step map
Instead of relying on a single generic AI model, this pipeline connects specialized tools to maximize quality. First, you'll use Adverity to clean, consistent data ready for matching against sanctions and pep lists. Then, you pass the output to SEON to initial list of potential matches flagged for further investigation. Then, you pass the output to NICE Actimize to reduced alert volume with clear documentation of cleared vs. escalated cases. Then, you pass the output to FIQ to comprehensive risk profile enabling informed decision on whether to file a suspicious activity report (sar). Then, you pass the output to DocuWare to regulatory compliance achieved with a properly filed sar. Finally, Tableau AI is used to complete, auditable record of the aml screening cycle for regulatory inspection.
Data Ingestion and Normalization
Clean, consistent data ready for matching against sanctions and PEP lists.
Sanctions and PEP List Matching
Initial list of potential matches flagged for further investigation.
Alert Triage and False Positive Reduction
Reduced alert volume with clear documentation of cleared vs. escalated cases.
Enhanced Due Diligence (EDD) Investigation
Comprehensive risk profile enabling informed decision on whether to file a Suspicious Activity Report (SAR).
Suspicious Activity Report (SAR) Filing
Regulatory compliance achieved with a properly filed SAR.
Reporting and Audit Trail Generation
Complete, auditable record of the AML screening cycle for regulatory inspection.
Collect customer and transaction data from internal systems (CRM, core banking, payment rails) and external watchlists (OFAC, UN, EU, HMT). Normalize name formats, date of birth, and identifiers to a consistent schema to enable accurate matching.
Why Adverity: Adverity provides multi-channel data aggregation and data transformation/normalization, which directly addresses the data integration and normalization needs of this step.
Run the normalized data against global sanctions lists (OFAC SDN, UN Consolidated, EU, UK HMT) and politically exposed persons (PEP) databases using fuzzy matching algorithms. Configure match thresholds (e.g., 85% similarity) to balance false positives vs. misses.
Why SEON: SEON directly supports AML compliance with automated screening and regulatory reporting, including sanctions and PEP list matching.
Manually or semi-automatically review each flagged match to eliminate obvious false positives (e.g., common name matches, different country of residence). Apply secondary filters like jurisdiction, date of birth, or ID number to reduce noise before escalation.
Why NICE Actimize: NICE Actimize is a leading case management and AML platform specifically designed for alert triage and false positive reduction in financial crime workflows.
For escalated alerts, conduct deeper investigation: gather beneficial ownership, adverse media, and source of wealth information. Use open-source intelligence (OSINT) tools and public registries to build a comprehensive risk profile.
Why FIQ: FIQ provides sanctions screening, PEP identification, and adverse media monitoring, directly covering the key needs for enhanced due diligence investigation.
If EDD confirms suspicion, draft and submit a SAR to the relevant Financial Intelligence Unit (FIU) within regulatory deadlines. Include all supporting evidence, narrative of suspicion, and risk assessment summary.
Why DocuWare: DocuWare provides document capture, processing, and workflow automation, which directly supports document management and filing processes for SARs.
Generate a final screening report summarizing all alerts, dispositions, EDD outcomes, and SAR filings. Archive the report and all raw data for regulatory audit and internal risk review.
Why Tableau AI: Tableau AI provides data analysis, visualization, and predictive modeling, which directly supports reporting dashboard needs for audit trail generation.
§ Before you start
Teams or solo builders working on work tasks who want a repeatable process instead of one-off tool experiments.
No. Start with the top pick for each step, then replace tools only if they do not fit your pricing, compliance, or output needs.
Open the mapped task page and compare top options side by side. Prioritize output quality, integration fit, and predictable cost before scaling.
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