Stop Leaving It to Chance: How Adobe Ensures AI Gets the Facts Straight

Connor Cantrell, Information Architect - Factor As enterprises push AI deeper into mission-critical workflows, accuracy and compliance become nonnegotiable. A Model Context Protocol (MCP) connects AI models to verifiable external data sources in a way that AI understands. In this session, Adobe shares how its Taxonomy MCP and Content MCP now provide agents with governed, authoritative data, reducing risk while accelerating development. Our speakers cover the tools, patterns, and lessons learned, plus take a practical look at mapping taxonomy intents to LLM prompts to ensure consistent, verifiable outputs.