Video

Gen AI and the future of financial crime prevention

Discover how generative AI will be key to the future of financial crime prevention and the importance of responsible and explainable AI





Speaking at World Salon x Columbia University’s Global Dialogue talk - “What LLMs really mean for the future of finance” - Elizabeth Callan, Sanctions Compliance & Risk Management SME at SymphonyAI financial services , shares expert insights on how financial institutions can adopt large language models (LLMs) and AI technologies responsibly while strengthening (and not compromising) compliance.
The discussion outlines a roadmap for program-level governance, regulatory alignment, and the strategic role vendors play in sustaining trust and defensibility. Tailored to risk and compliance leaders, Elizabeth unpacks best practices for AI governance and real-world regulatory engagement strategies .
Read more about GenAI and the future of FinCrime .
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Topics covered

Governance frameworks for AI

  • Establishment of AI risk committees to oversee development and deployment
  • Clear delineation of roles and responsibilities to support regulatory clarity
  • Written policies and procedures ensuring transparency and readiness

Model governance and compliance readiness

  • Model retraining protocols, incident response, and explainability as documentation essentials
  • Critical compliance pillars include data integrity, lineage, bias testing, and tracking
  • Transparent processes designed to withstand scrutiny from regulators and auditors

Strategic vendor partnerships

  • Importance of selecting vendors committed to responsible AI and regulatory collaboration
  • Vendor support in stakeholder communication, issue resolution, and long-term lifecycle alignment
  • Engaging vendors as partners in demonstrating defensibility and driving organizational transformation

Regulator engagement best practices

  • Need for early and continuous dialogue with regulators for alignment and mutual understanding
  • Transparent explanation of the benefits of AI , use cases, and risk controls
  • Potential for proactive institutions to shape smart, innovation-friendly regulation

“If you can’t explain it to a regulator, you probably shouldn’t be using it.” – Elizabeth Callan, Sanctions Compliance & Risk Management SME, SymphonyAI financial services
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Related resources

Symphony Risk Intelligence : Advanced AI-powered compliance platform for financial crime prevention
AI checklist : 40 questions to ask potential vendors to see if they are the right fit for your organization
Responsible AI : Insights into responsible AI principles and their vital role in building customer trust.

Learn more about Symphony Risk Intelligence

The AI-native FinCrime platform designed to help financial institutions move from reactive to proactive risk management.

about the author
Elizabeth Callan
Principal Strategic Advisor, Financial Services

Elizabeth Callan is a recognized leader and innovator in the fightagainst money laundering and financial crime with 25 years of experience acrossintelligence, law enforcement, and the private sector. At SymphonyAI, she is atthe forefront of redefining the future of financial crime compliance and riskmanagement. She drives strategy and innovation, developing groundbreakingAI-led, intelligence-driven solutions that are transforming how globalinstitutions detect, disrupt, and prevent money laundering, sanctions evasion,and other sophisticated financial crimes. Her work is helping to shift theindustry approach from reactive, technical compliance to proactive, risk -aligned, and highly effective risk management. Prior to SymphonyAI, Elizabethserved in the U.S. intelligence and law enforcement communities. As a SeniorIntelligence Analyst at the Central Intelligence Agency and the U.S. Departmentof the Treasury, she shaped high-impact U.S. policy and enforcement actions —including Section 311 designations — while directly advising senior officialsacross the USG, including at OFAC and FinCEN, on critical threats and nationalsecurity strategies. She also served as Intelligence Liaison and Senior Advisorto the DEA’s Special Operations Division, where she led complex, large-scalemoney laundering investigations, enhanced intelligence collection efforts,trained law enforcement agents and analysts, and forged strong internationalpartnerships. In the private sector, Elizabeth has held leadership roles in financialinstitutions and consulting firms, where she built and managed investigationsteams, designed robust AML and sanctions programs, and developed riskmanagement strategies for complex products and services. A recognized subjectmatter expert, Elizabeth teaches AML and sanctions courses at the universitylevel. She holds a master's degree in economics and analytics and ACAMS’Advanced Certification in Financial Crimes Investigations (CAMS-FCI).

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