Governance and Risk

Generative AI Governance and Risk

For boards, in house counsel, risk and compliance leads, CIOs, and enterprise governance teams

WHY IT MATTERS

Senior decision makers are under growing pressure to govern AI in a way that reduces legal, operational, and reputational risk without killing innovation.

This course gives you the frameworks and tools to oversee AI safely, effectively, and with confidence.

Who it’s for

Board members, audit, or risk committees

General counsel and legal leaders

C-suite executives (CIO, CDO, CRO, CCO)

Senior strategy, governance, AI oversight, or risk leaders

What you’ll learn

Core generative AI concepts and their intersection with governance and enterprise risk

Regulatory trends, legal considerations, and AI risk categories

Designing and running AI governance frameworks

Integrating AI oversight into enterprise governance structures

Monitoring, reporting, and escalation protocols for AI risk

Building a governance culture that balances compliance and innovation

Programme Structure

    • Definitions and scope of generative AI in enterprise contexts

    • Governance principles applied to AI: transparency, accountability, fairness, security

    • Mapping AI risk categories and enterprise impacts

    • The role of board and executive oversight in AI adoption

    • Key global and local regulations relevant to AI

    • Legal exposure: privacy, IP, liability, discrimination

    • Building compliance by design into AI projects

    • Governance failures and lessons learned

    • Roles, responsibilities, and reporting lines for AI oversight

    • Drafting and implementing governance policies and risk registers

    • Approval workflows, risk gates, and decision points

    • Committee structures and escalation pathways

    • Embedding governance in procurement, vendor selection, and contracts 

    • Audit processes and continuous monitoring 

    • Incident detection, reporting, and remediation 

    • Measuring governance effectiveness and adapting frameworks 

    • Assessing maturity and readiness for wider AI use 

    • Change management for governance adoption 

    • Balancing agility with control in innovation 

    • Preparing for emerging AI risks and regulations 

Delivery Options

Online or in-person, highly interactive sessions with live case analysis

  • 4 × 4-hour executive modules (recommended for boards and committees)

  • 2-day deep-dive workshop (for working groups or governance leads)

What you’ll walk away with (within 30 days)

A practical governance framework tailored to your enterprise

A functioning oversight model aligned to your governance structures

Clear approval, monitoring, escalation, and reporting processes

Greater board and executive confidence in AI decision making

Pricing

$4,500 + GST per participant (you join an existing course)

$27,000 + GST (up to 12 participants)

Custom pricing available for board and executive sessions

The training pays for itself within 2 months based on time saved alone.

This course has been developed by Dr Daryl Carlton a world expert in generative AI and delivered by professionals with over 20 years experience in enterprise transformation, technology, and applied AI.

What our customers say

GEN AI GOVERNANCE AND RISK

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