• 1. Regulatory & Compliance Frameworks

    OECD (2024)Crypto-Asset Reporting Framework and Amendments to the Common Reporting Standard
    https://www.oecd.org/tax/exchange-of-tax-information/
    Why read: Official OECD guidance on CRS 2.0 implementation; essential for multi-jurisdiction operations

    European Union (2024)Regulation (EU) 2024/1689 on Artificial Intelligence (AI Act)
    Brussels: European Parliament and Council
    https://eur-lex.europa.eu/eli/reg/2024/1689/oj/eng
    Why read: The law itself; Articles 11-14 (documentation, logging, transparency) and Article 99 (penalties) are critical for compliance officers

    Financial Stability Board (2024)The Financial Stability Implications of Artificial Intelligence
    Basel: FSB https://www.fsb.org/2024/11/the-financial-stability-implications-of-artificial-intelligence/
    Why read: Global regulatory perspective on AI risks; board-level strategic context

    2. AI Implementation & Risk Management

    Ransbotham, S., Kiron, D., Gerbert, P., and Reeves, M. (2024) Winning With AI: Lessons From the Leaders
    MIT Sloan Management Review, Spring 2024
    https://sloanreview.mit.edu/projects/winning-with-ai-2024/
    Why
    read: Research from 3,000+ organizations on successful AI adoption; includes ROI data, implementation frameworks, and common failure patterns; financial services heavily represented

    National Institute of Standards and Technology (2023) Artificial Intelligence Risk Management Framework (AI RMF 1.0)
    Washington DC: NIST
    https://www.nist.gov/itl/ai-risk-management-framework
    Why read: U.S. government standard for AI governance; practical implementation guidance for Govern-Map-Measure-Manage framework

    World Economic Forum (2024) The Global Risks Report 2025
    https://www.weforum.org/publications/global-risks-report-2024/
    Why read: Chapter on AI and technological risks; macroeconomic context for board discussions

    3. Industry-Specific Research

    Bank for International Settlements (2024) Regulating AI in the Financial Sector (FSI Insights No. 63)
    Basel: BIS Financial Stability Institute
    https://www.bis.org/fsi/publ/insights63.pdf
    Why read: Most comprehensive regulatory analysis; documents actual AI use cases across 25+ jurisdictions; pages 21-27 cover implementation challenges

    McKinsey & Company (2025) The State of AI in 2025: How organizations are rewiring to capture value
    https://www.fiduciacorp.com/ailibrary/ai-reports
    Why read: Industry benchmarking data; ROI metrics from financial services implementations

    Deloitte (2024) AI-Powered Compliance: From Cost Center to Strategic Asset
    https://www2.deloitte.com/us/en/insights/industry/financial-services.html

    Why read: Case studies from peer institutions; cost-benefit analysis frameworks

    4. Data Governance & Privacy

    Information Commissioner's Office (UK) (2024) Guidance on AI and Data Protection
    London: ICO
    https://ico.org.uk/for-organisations/uk-gdpr-guidance-and-resources/artificial-intelligence/guidance-on-ai-and-data-protection/
    Why read: Practical GDPR compliance for AI systems; explainability requirements detailed

    KPMG (2024) AEOI Updates & Tracking Service: CRS/CARF Alert
    https://assets.kpmg.com/content/dam/kpmg/xx/pdf/2024/11/aeoi-updates-tracking-service.pdf
    Why read: Implementation timeline for CRS 2.0 XML Schema v3.0; jurisdictional differences mapped

  • AI Governance Simplified: From Zero to Pro
    Why watch: A masterclass in turning AI complexity into clear governance frameworks. Essential for fiduciary leaders who must steer AI with authority, not hype.
    🔗 Watch on YouTube

    MIT Sloan — The Business of AI: What Every Company Needs to Know
    Why watch: MIT faculty outline what boards and executives must understand about AI’s impact on strategy, risk, and long-term competitiveness.
    🔗 Watch on YouTube

    Oxford — Governing AI: The Future of Trust and Accountability
    Why watch: Oxford experts explore the critical question: how can AI be governed to protect trust, accountability, and fiduciary responsibility?
    🔗 Watch on YouTube

    IBM Technology (2024)What is Agentic AI?

    Why watch: Clear explanation of supervised autonomy; relevant to Layer 2 (Intelligence) in Continuous Compliance framework

    🔗Watch on YouTube

  • The AI Skills You Should Be Building Now (Harvard Business Review, September 2024)

    🎧Listen here

    Why listen? Explores the integration of AI into professional skillsets, with practical discussion on judgment, risk, and compliance in AI-driven environments.​

    Tech at Work: What GenAI Means for Companies Right Now (Harvard Business Review, May 2024)

    🎧Listen here

    Why listen? Looks at how generative AI changes workflow, oversight, and technology adoption for compliance-heavy industries—discusses regulatory pressures and compliance transformation.​