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      One of the most pressing challenges in financial crime compliance today is the growing regulatory expectation for rigorous traceability, explainability and evidence quality during Source of Wealth reviews.

      As wealth structures become more complex – spanning operating businesses, investment portfolios, trusts, inheritance events, property transactions, offshore entities and multi-jurisdictional flows – traditional review approaches can struggle to deliver consistent, scalable, and defensible outcomes.

      Our latest technical implementation white paper, “Re-engineering Source of Wealth for the AI Era,” explores how financial institutions can transform Source of Wealth from a largely manual verification exercise into a governed intelligence capability, improving evidence into a governed intelligence capability.

      The paper sets out a practical implementation architecture for applying AI across the Source of Wealth lifecycle, including:


      • Document ingestion and classification
      • Entity and relationship extraction
      • Wealth event reconstruction
      • Risk signal detection
      • Human in the loop review workflows
      • Explainability, auditability and model governance

      Source of Wealth AI adoption is not a tech solution play; it is a business strategy decision enabled by technology.

      Chad Olsen, Head of Forensic Services

      Hong Kong SAR

      KPMG China

       Chad Olsen

      Transforming Source of Wealth through AI Adoption

      Transforming Source of Wealth through AI Adoption


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      Chad Olsen
      Chad Olsen

      Partner, Head of Forensic Services, Hong Kong SAR

      KPMG China

      Lilian Sin

      Partner, AML and Sanctions Services Hong Kong SAR

      KPMG China


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