Agentic Risk Webinar 1 of 4: The Fundamentals of Agentic Risk Management

AI agents represent a paradigm shift in automation – digital problem-solvers that independently plan, execute, and learn from multi-step workflows at machine speed. While they offer increased productivity and scalability, they also introduce an entirely new class of enterprise-wide risk – agentic risk – for which traditional risk management must evolve. 

AI is a family of tools, with autonomous agents as the newest capability.

In this webinar, you will learn their key features, use a live demo of a data collection agent to explore the advantages of AI agents, and learn about the sweet spot in an operating model for agentic workflows.

We will examine how agentic AI challenges the traditional risk management process and how you should evolve your risk management function for the era of agentic AI.

To finish, we will consider how to navigate the 5 categories of agentic risk (A-E below), explain why risk controls are vital for agentic AI, and outline the controls you will need to govern, secure, and integrate agentic workflows:

1. Individual AI Agent Risks.
2. Multiple AI Agent Risks.
3. AI Agent Security Threats.
4. AI Agent Governance Failures.
5. Human Capabilities for AI Agents.

Key Learning Objectives

• Learn about AI agents, how they are different from mainstream AI, and the benefits they bring.
• Understand the new class of risks that AI agents introduce and why you will need control strategies to secure the benefits this new technology offers.
• Explore the 5 categories of agentic risk and associated control strategies.
• Know how to access this information when you need it.

Register for the full series:

Agentic Risk Webinar 1 of 4: The Fundamentals of Agentic Risk Management

Agentic Risk Webinar 2 of 4: Agentic Risk Appetite and Adoption Strategy

Agentic Risk Webinar 3 of 4: Mapping Agentic Workflow Risks and Controls

Agentic Risk Webinar 4 of 4: Governing Agentic AI

15:00 Welcome to Webinar 1 of 4

15:05-15:45

• AI Agents and Their Benefits
• Why Risk Controls are Vital for Agentic AI
• Agentic Risk Management

15:45 Conclusions and Look Forward to Webinar 2 of 4

15:50 Q&A

Adam Grainger, Managing Director, Agentic Risks
Adam Grainger is Managing Director of Accomplish and founder of Agentic Risks, the independent body behind the Enterprise-Wide Agentic AI Risk Control Framework – a freely available, open-source framework downloaded hundreds of times globally. An alumnus of Oxford University’s Artificial Intelligence programme and the London Business School, Adam has spent his career leading complex transformations for large financial services firms, including chairing the global Asset Management CX Forum (2018–2021). He is the recognised agentic risk management training provider for the Institute of Risk Management and the UK Investment Association and has presented on this topic at multiple industry events. Agentic Risks helps organisations adopt agentic AI safely and with confidence.

Adam Davis, Strategic Advisor, Data & AI, Agentic Risks
Adam Davis brings over 20 years of experience in data strategy, AI advisory, and operational transformation across the investment management industry. He spent the first half of his career in-house at asset managers and investment firms, building deep expertise in data governance, enterprise data management, and technology-driven operations. He then broadened his focus as a consultant, helping financial services clients, including asset managers, wealth managers, fund administrators, and custodians, turn AI and data strategy into scalable delivery.

• Accountable executives overseeing agentic workflows.
• Heads of risk and risk managers.
• Business managers.
• Heads of operations.
• AI change managers.
• Internal auditors.

Free to attend