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

From the board to the operational workflow, firms that build an agentic risk capability will find it easier to scale the benefits of autonomous AI, with fewer surprises and stronger regulatory defensibility. This begins with clarifying how much autonomy you are prepared to delegate.

Autonomous AI agents plan and execute workflows, fundamentally reshaping risk management by shifting control from a process’s execution phase to its design and oversight phases.
In this webinar, we will deep-dive into the sources of risk when delegating autonomy to non-humans.

Using a practical 3-step approach, you will learn how to integrate agentic risk into your risk appetite-setting processes:

1. Define a board-level risk appetite statement.
2. Embed it into workflow-level risk assessments.
3. Institute agentic key risk indicators.

To finish, we will explore tips for agentic AI adoption strategies, key steps in an agentic transformation, and general success factors.

Key Learning Objectives

• Learn about autonomy, its different levels and risk profiles, and their varying needs for different control environments.
• Discover how to set a risk appetite for delegating autonomy to AI agents across different parts of your organisation, as well as the importance of governance and accountability.
• Know the key features of an effective agentic AI adoption strategy and the key success criteria for a pilot agentic workflow.

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 2 of 4

15:05-15:45

• Deep-Dive into Autonomy
• Agentic Risk Appetite
• Tips for Agentic AI Adoption Strategies

15:45 Conclusions and Look Forward to Webinar 3 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