Speaker

Thomas Van Dorpe

Thomas Van Dorpe

Cegeka, AI Solutions Architect

New York City, New York, United States

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AI ERP Solution Architect at Cegeka specializing in Pharma & Medtech industry solutions with a focus on AI and Dynamics 365 Finance & Supply Chain Management.

Area of Expertise

  • Agriculture, Food & Forestry
  • Business & Management
  • Manufacturing & Industrial Materials
  • Physical & Life Sciences

Topics

  • Copilot Studio
  • Copilot/AI
  • AI / Copilot

Quality Impact Recall Agent on D365 F&O leveraging Copilot Studio

In today’s complex supply chains, quality issues can ripple across global operations, leading to costly recalls and reputational damage.

This session will showcase an agent which leverages quality insights and end-to-end traceability to move from reactive to predictive recall management.

The agent is specifically designed for the manufacturing industry, acting as a continuously vigilant companion, who will proactively flag potential risks, propose actions, draft emails towards customers and handle follow-up tasks.

Get started with Model Context Protocol (MCP) on D365 F&O and Business Performance Analytics

Model Context Protocol (MCP) is more than a technical concept—it’s a game-changer for how you leverage AI in Dynamics 365 Finance & Operations and Business Performance Analytics. In this session, we’ll show you how MCP works in real-world scenarios and why it matters for your business. Learn how to:

- Automate repetitive tasks like generating financial reports or reconciling data using AI copilots that understand your D365 context.
- Enable predictive insights by connecting MCP with Business Performance Analytics for forecasting cash flow, inventory trends, and operational KPIs.
- Streamline decision-making with context-aware prompts that pull accurate data from F&O without manual queries.

Through live demos and practical examples, you’ll see how MCP transforms static processes into intelligent workflows—helping finance and operations teams move faster, reduce errors, and unlock actionable insights.

Thomas Van Dorpe

Cegeka, AI Solutions Architect

New York City, New York, United States

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