Most organizations don't have an AI problem — they have an AI decision problem. As a Senior Solution Architect advising companies and executives on AI strategy, governance, and implementation, I see the same pattern repeatedly: capable teams paralyzed by too many options and no framework for choosing.

D365 Finance & Supply Chain Management is now surrounded by AI on every side — Microsoft's out-of-the-box agents, Copilot Studio, Microsoft Foundry, and more arriving every quarter. The question is no longer whether AI belongs in your F&SCM environment. The question is which investments will actually return value, which ones will create technical debt, and who in your organization needs to own those decisions.
In this session I'll give you a practical governance framework built from real implementation experience — one you can take back to your leadership team the same week. We'll cover how to evaluate AI capabilities against your actual business processes, how to structure accountability across business users and developers, and how to avoid the most common and costly mistakes organizations make when they skip the strategy layer and go straight to building.

You'll leave with a decision matrix, a governance starting point, and a clearer answer to the question every executive is already asking you.