MCP is dominating the AI conversation right now, and for good reason. But connecting AI to your document management system is only as valuable as the foundation underneath it.
In this session, we go deep on what it actually means for AI tools to connect directly to your document management system: how technology enables AI to search, retrieve, and reason against your organizational intelligence without moving documents, bypassing governance, or requiring new compliance infrastructure.
We will address the questions IT and legal operations teams ask most, and give you the framework to evaluate any MCP implementation critically before committing to an architecture.
What You will Learn:
- What MCP actually does and does not do, and why the quality of the platform it connects to is the variable that matters most
- The meaningful difference between a true AI-ready foundation and an intermediary layer that sits between your AI tools and your content
- How technology enables AI to search, retrieve, and reason against your organizational intelligence without moving documents, bypassing governance, or requiring new compliance infrastructure
- How document-level governance including ethical walls, "no AI" enforcement, retention policies, and audit trails flows through an MCP connection rather than being bypassed by it
- How to evaluate MCP implementations critically: the questions to ask vendors and the live demos to request before committing to any architecture
Presenters:
Craig Sixta, Chief Technology Officer, Element Technologies
Michael Owen Hill, Director of Product Marketing, NetDocuments
#PartnerMasterClass#ArtificialIntelligence#Virtual