Webinar Description
Key Takeaways
- Focuses on governance frameworks for enterprise and agentic AI adoption
- Designed for audit, risk, information security, and compliance professionals
- Addresses risk ownership, policy development, and cross-functional accountability
- Offers one CPE credit in the auditing field of study
- Emphasises adaptive governance models over static policy approaches
Introduction
As artificial intelligence transitions from pilot programmes into core business operations, organisations face mounting pressure to establish governance structures that can keep pace with technological change. This webinar addresses the practical challenges confronting audit, risk, information security, and compliance teams as they work to oversee AI systems that increasingly operate with greater autonomy and influence over business decisions.
The session arrives at a critical juncture for enterprise AI adoption. Agentic AI systems—those capable of taking autonomous actions rather than simply generating outputs—are introducing governance complexities that traditional risk frameworks were not designed to address. For professionals responsible for organisational oversight, understanding how to govern these technologies without stifling innovation has become an urgent priority.
Governance Challenges in the Age of Agentic AI
The rapid deployment of AI across enterprise functions has exposed gaps in conventional governance approaches. Automated decision-making systems now influence everything from customer interactions to financial processes, yet many organisations lack clear frameworks for determining who bears responsibility when these systems produce unexpected outcomes.
Agentic AI compounds these challenges by operating with reduced human intervention. Unlike earlier AI implementations that primarily supported human decision-makers, agentic systems can initiate actions, interact with other systems, and adapt their behaviour based on changing conditions. This autonomy demands governance models that account for dynamic risk profiles rather than static control environments.
The session examines how risk leaders can identify AI-related risks and establish clear ownership structures. Cross-functional accountability becomes essential when AI systems span multiple business units, each with different risk tolerances and regulatory obligations. Without deliberate coordination, governance gaps emerge at organisational boundaries.
Building Adaptive Governance Frameworks
Rather than treating AI governance as a one-time policy exercise, the webinar advocates for adaptive frameworks that evolve alongside the technology they oversee. This approach recognises that AI capabilities, use cases, and associated risks change continuously, rendering static governance documents insufficient.
Effective AI governance requires alignment between strategy, policy, controls, and assurance activities. Strategic decisions about AI adoption must inform policy development, which in turn shapes the controls implemented to manage risk. Assurance functions then validate whether these controls operate effectively, creating feedback loops that strengthen governance over time.
The session provides guidance on translating governance principles into measurable actions. Abstract commitments to responsible AI use carry little weight without concrete mechanisms for monitoring compliance, detecting anomalies, and responding to incidents. Audit and compliance teams play a central role in establishing these mechanisms and verifying their effectiveness.
Who Should Attend
This webinar is designed for professionals working in audit, risk management, information security, and compliance functions. The content assumes no prior specialised knowledge of AI governance, making it accessible to practitioners beginning to engage with these issues as well as those seeking to refine existing approaches.
Participants will benefit from practical frameworks for mapping AI risks to ownership responsibilities and identifying actionable steps for monitoring AI use within their organisations. The session supports professionals who must balance enabling innovation with maintaining appropriate oversight and control.