AI is embedding itself into Dynamics 365 Finance & Supply Chain Management from forecasting and cash-flow predictions to procurement scoring and autonomous agents. Yet most project managers, consultants and partners are still explaining AI on productivity narratives, not on quantified business value or risk-adjusted return. This session challenges the feature-first approach. We will examine how AI changes the financial, operational, and regulatory risk profile of ERP implementations, and why traditional risk heatmaps fail in enterprise AI deployments.

You will learn a practical framework to:
• Calculate the Risk Delta (new AI risk introduced vs. legacy risk reduced)
• Model the levelized cost of AI, including monitoring, drift, inference, and governance overhead
• Align EU AI Act and ISO 42001 requirements to D365 architecture without slowing innovation
• Communicate AI exposure and ROI credibly to CFOs and boards

Using real-world enterprise examples, we will translate governance into architecture, and architecture into financial impact.

If you are a Dynamics partner navigating Copilot, AI agents, or advanced automation, this session will help you price smarter, deploy safer, and turn compliance into competitive advantage.