AI Governance and Risk Programme

Academic partner of

CMI Accreditation

AI Governance and Risk Programme

This two-day programme provides a structured, practical, and strategic approach to governing AI at organisational and board level.

DELIVERY:

2 Days

LOCATION:

In House / Virtual / A venue of your choice

QUALIFICATION:

CMI Recognised

Artificial Intelligence now sits at the centre of organisational performance, risk, innovation, and regulatory exposure. Boards and senior leaders are expected to demonstrate competence in AI governance – balancing opportunity with accountability, ethics, operational risk and compliance.

This two-day programme provides a structured, practical, and strategic approach to governing AI at organisational and board level. Delegates leave with clear frameworks, governance templates and actionable next steps to ensure AI is deployed responsibly, safely and in line with emerging UK/EU/Global standards.

By the end of the programme, managers will be able to:

  • Explain the principles of AI governance and why it is now a board-level competency.
  • Evaluate risks and opportunities of AI systems using recognised frameworks (NIST, ISO, UK/EU guidance).
  • Apply a practical AI governance model that integrates strategy, ethics, risk, compliance, and operational controls.
  • Assess AI readiness and capability across culture, data, leadership, skills, and infrastructure.
  • Set governance standards for transparency, safety, fairness, and accountability.
  • Create an AI governance roadmap aligned to organisational strategy and regulatory expectations.
  • Make informed decisions about AI procurement, model selection, vendor risk, and ongoing oversight.

Day 1 — Strategic & Foundational Governance

Theme: Building Understanding, Competence, and Strategic Oversight

1. The New Governance Landscape

  • Why AI requires board-level governance
  • Limitations of traditional digital governance frameworks
  • Overview of emerging AI regulation (UK, EU AI Act, US, global)
  • Fiduciary duties and accountability for AI decisions

2. Foundations of Good AI Governance

  • The 5 pillars: Strategy, Risk, Ethics, People, Controls
  • Understanding AI system types: predictive, generative, agentic
  • Key governance questions leaders must ask
  • Case studies of governance failures & successes

3. Strategic Alignment & AI Maturity

  • AI maturity assessment (organisational, technical, cultural)
  • Mapping AI initiatives to corporate strategy
  • Where to play vs. where not to play
  • Guardrails vs. enablement

4. Risk & Compliance for AI

  • AI risk categories: operational, ethical, security, reputational
  • Model governance: data, drift, bias, hallucination, reliability
  • Reviewing AI vendors, procurement risk, and third-party due diligence
  • NIST AI Risk Management Framework
  • ISO 42001 AI Management System (AIMS)

5. Ethical & Responsible AI

  • Principles: fairness, transparency, explainability, accountability
  • Creating ethical review processes
  • How to handle sensitive data, privacy, and trust
  • Practical ethical decision frameworks
  • Practical Exercise
  • Assess a real AI use case using a governance risk lens
  • Identify gaps and propose governance controls

Day 2 — Operationalisation, Controls & Board Decision-Making

Theme: Turning Governance Into Practical, Repeatable Systems

6. Designing an AI Governance Framework

  • Roles and responsibilities: Board, ExCo, AI Steering Group, AI Champions, SMEs
  • Decision rights & escalation pathways
  • Governance lifecycle: initiation → testing → deployment → monitoring
  • Templates: model cards, risk logs, audit trails, approval workflows

7. Policy & Control Environment

  • Writing practical AI policies (Use, Safety, Data, Vendor, Generative AI)
  • Human-in-the-loop and human-on-the-loop design
  • Content safeguards and prompt governance
  • Monitoring, evaluation, and incident response procedures

8. Culture, Skills & Behaviour

  • Building a responsible AI culture
  • Psychological safety in AI experimentation
  • Upskilling leadership & workforce
  • Addressing AI myths, resistance, and hype cycles
  • Avoiding “shadow AI”

9. Board-Level Decision-Making

  • How boards should evaluate AI proposals
  • Templates and dashboards for AI oversight
  • Reviewing an AI business case: ROI, risk, impact, governance
  • Reporting standards and audit expectations

10. Future of AI Governance

  • Agentic AI and autonomous systems
  • AI assurance and certification
  • The shift to continuous governance
  • Preparing your organisation for the next regulatory wave

This course is CMI recognised – at completion of the course, learners will receive a certificate of attendance from CMI, a digital badge as well as access to exclusive learning resources and membership benefits for 12 months. Learners will also receive Foundation Chartered Status post nominals from the CMI. This can enhance participants skills, improve employability, and offer a pathway to higher-level qualifications and full Chartered Manager Status.

AI Governance for Directors and Organisational Leaders Programme 

The AI Governance for Directors and Organisational Leaders Programme gives senior leaders the knowledge and frameworks needed to oversee responsible use of AI across teams.  

AI governance is critical because it ensures safe, fair, and accountable use of AI while meeting legal requirements such as the EU AI Act and GDPR. This course covers risk assessment, regulation, ethics, accountability, and organisational readiness, enabling organisations to deploy AI safely, legally, and strategically. 

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See how our AI Governance for Directors and Organisational Leaders Programme can impact you and your organisation

Leadership Coaching and Mentoring Development Programme Brochure

Meet Your Tutors

Delivered by Industry Experts

William McKee

AI Tutor

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Martin Wright

AI Tutor

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Is This Course Right for You?

Who attends our AI Governance for Directors and Organisational Leaders Programme:

Job Seniority
Job Seniority

C-Suite, Directors, Head of Departments, Consultant, Senior Leaders

Job Function
Job Function

All job functions

Time in Role
Time in Role

4 year’s experience as a senior leader on average

Sector
Sector

Cross-sector

TAKE THE IN-HOUSE APPROACH

Considering completing this course in-house?

Our In-House training is fully customisable to your business, and we will work with you to create the perfect training programme for your organisation.

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