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

Agentic workflows are not “just another AI model” – they are operational systems that can act, spend, and escalate at speed. As a result, risk is shaped as much by design choices and organisational capability as by the task the agent performs. 

In this webinar, we will explore a practical, audit-defensible agentic workflow design process that helps firms decide whether an AI agent should exist, what authority it may safely hold, and how that authority is constrained, tested, and monitored over time.

To help you move your organisation beyond demos and onto a repeatable, governable, and scalable agentic workflow, we structure the process into three phases – foundation, build, and deployment.

The outcome will be a step-by-step guide on how to design an agentic workflow using a risk-led, auditable design process, operationalised controls, and agentic key risk indicators.

Key Learning Objectives

• Be able to support an agentic implementation with effective pre-deployment risk identification and mitigation.
• Understand the agentic workflow design process.
• Know how to perform a pre-deployment agentic risk assessment.
• Learn how to operationalise risk controls through risk treatment plans.
• Be familiar with the key risk indicators for agentic workflows.

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 3 of 4

15:05-15:45

• Agentic Workflow Design Process
• Pre-Deployment Risk Assessment
• Operationalise Risk Controls
• Key Risk Indicators for Agentic AI

15:45 Conclusions and Look Forward to Webinar 4 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