The use of AI and machine learning is fundamentally transforming compliance practices — particularly in transaction monitoring, screening, and the KYC process. However, the prerequisite for these benefits is robust, digitally available, and structured data — a requirement that is underestimated in many organisations. WCTS supports you in preparing your database for AI application and gradually introducing AI-driven compliance solutions.
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AI models only deliver impact where data is available in sufficient quality, consistency and granularity. A recent review of RegTech applications in AML/CFT shows that the use of AI models can reduce false-positive rates by up to 30% and manual review efforts by over 50% (El Harras & Salahddine, 2025, Corporate Law & Governance Review). Incomplete customer data, fragmented system landscapes or analogue paper records remain the actual bottleneck in many compliance functions — not the technology itself. A realistic baseline assessment is therefore the first step before selecting any tool.
As part of our advisory, we address the following areas:
Data Readiness Assessment — evaluation of existing data assets regarding availability, structure, quality and regulatory compatibility, particularly with focus on KYC, transaction and screening data
Use-Case Identification — prioritization of viable AI application areas in the AML/CFT context, such as alert reduction, customer risk classification or pattern recognition in transaction data
Data Preparation and Governance — support in the consolidation, cleansing and structuring of relevant data assets as well as the establishment of appropriate data governance, including responsibilities and quality controls
Tool Selection and Implementation — vendor-neutral guidance in selecting suitable AI and RegTech solutions as well as operational support in the deployment and validation phase
