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Artificial Intelligence (AI) in Pension Fund Governance, Compliance and Risk Management Duration: 1 Week/s

Course Information

  • Course Price £4895 Plus VAT
  • Location UK Courses
  • Course Code APFGC
  • Course Date 27 Jul - 31 Jul 2026

Course Objectives

Artificial intelligence is moving rapidly from concept to practice in pensions, investments, and financial services.
Pension funds and their providers are beginning to use AI for administration, investment analytics, risk monitoring, member engagement, and fraud detection.
At the same time, regulators, boards, and stakeholders are increasing their scrutiny of how AI is governed, how decisions are explained, and how member interests are protected.
Trustees, board members, and senior executives must understand both the potential and the limitations of AI and ensure that its use is aligned with fiduciary duties, regulatory expectations, and robust risk management.
This intensive 5-day programme provides a practical, governance-focused introduction to AI in pension funds, with a strong emphasis on compliance, risk, and data ethics.
Through case studies, simulations, and structured exercises, delegates will learn how to challenge AI proposals, oversee AI use by providers, and design proportionate controls and assurance mechanisms.
Participants will leave with a realistic roadmap for integrating AI into pension fund governance and risk frameworks in a safe, transparent, and value-adding way

Who Should Attend

Chairs of trustees and pension boards responsible for scheme governance and strategic direction. Trustees and board members who need a structured understanding of AI and its implications for governance and risk. CFOs, CIOs, CROs, HR Directors, and COOs accountable for sponsoring employer risk, governance, and technology strategy. Chief Investment Officers, portfolio managers, and investment committee members using or evaluating AI-enabled tools. Risk, compliance, and internal audit professionals integrating AI-related risks into their frameworks and reviews. Heads of data, analytics, and innovation working on AI pilots or programmes related to pensions and investments. Data protection and privacy leads who must align AI use with data protection and ethical expectations

Prerequisite Courses

None


Course Overview

AI Fundamentals and the Pension Fund Context

  • Delegates will build a clear, jargon-free understanding of AI, including key concepts such as machine learning, large language models, and automation.

  • Participants will explore real and realistic use cases for AI in pension administration, investment, risk, and member engagement.

  • They will learn to distinguish between genuine AI capability and marketing hype, and focus on problems that AI can realistically help to solve.

    • Governance, Fiduciary Duty, and AI Accountability
  • Participants will examine how AI intersects with fiduciary duties, governance codes, and regulatory expectations for pension funds.

  • Delegates will explore principles for responsible AI use, including accountability, human oversight, transparency, and proportionality.

  • They will learn how to define roles, responsibilities, and decision rights for AI across boards, committees, executives, and providers.

    • Data Foundations, Privacy, and Model Quality
  • Delegates will review the data foundations needed for effective AI, including data quality, lineage, and governance.

  • Participants will consider how data protection, confidentiality, and ethical concerns shape what data can be used and how.

  • They will learn practical questions to ask about training data, model performance, bias, and testing before approving or using AI solutions.

    • AI in Risk Management, Compliance, and Monitoring
  • Participants will explore how AI can support risk identification, monitoring, and compliance in areas such as fraud, contributions, benefit payments, and market abuse.

  • Delegates will examine how to integrate AI outputs into existing risk and compliance processes without over-reliance on algorithms.

  • They will learn how to validate AI-generated alerts, reports, and insights, and set thresholds for escalation and human review.

    • AI in Investment Analytics and Portfolio Risk
  • Delegates will review how AI is being used in investment research, portfolio construction, risk modelling, and performance analysis.

  • Participants will discuss opportunities and risks associated with AI-driven signals, scenario analysis, and optimisation tools.

  • They will learn how to challenge managers and internal teams on the role of AI in investment decisions, and its alignment with mandate, risk appetite, and ESG objectives.

    • Operational Resilience, Cybersecurity, and Third-Party AI
  • Delegates will examine how AI can both strengthen and weaken operational resilience and cybersecurity in pension operations.

  • Participants will explore risks associated with AI supplied by third parties, including administrators, asset managers, and software vendors.

  • They will identify controls for contracts, testing, monitoring, and contingency planning when relying on AI-enabled external services.

    • Reporting, Documentation, and Assurance for AI Use
  • Participants will consider what boards, regulators, and auditors need to see to gain comfort over AI use in pensions.

  • Delegates will learn how to document AI-related decisions, assumptions, limitations, and controls in a clear and accessible way.

  • They will explore how to design dashboards, key indicators, and assurance reports that provide ongoing visibility of AI activity and outcomes.

    • Strategy, Road mapping, and Building Organisational Capability,
  • Delegates will bring together insights from the programme to shape a coherent, phased approach to AI adoption in their organisations.

  • Participants will identify capability gaps in skills, culture, and governance, and consider options for training, partnerships, and experimentation.


    • Course Materials

    Course notes, handouts

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