Description
Vault Professional software manages thousands of engineering workflows but property assignment, lifecycle transitions, revision management, approval routing, and enterprise resource planning (ERP) synchronization remain manual. Every operation is predictable and rule-governed. This session will deliver AU 2026's Intelligent Data theme in practice: an AI agent connected to the Vault API monitoring product data management (PDM) events and executing the right action autonomously via a Model Context Protocol (MCP) agent loop. The large language model (LLM) interprets PDM state against business rules, and the API executes without manual intervention. In controlled workflows, this has reduced administrative overhead by up to 70%. You'll leave with an ROI-prioritized implementation road map.
Key Learnings
- Learn how to build an LLM agent connected to the Vault API covering property assignment, lifecycle transitions, and ERP sync.
- Learn how to identify the highest-value Vault workflows in your environment for AI automation using the session ROI framework.
- Learn how to implement the MCP agent-loop architecture to automate at least one complete Vault PDM workflow autonomously.
- Learn about and assess the cumulative business impact of AI-driven PDM using the prototype benchmarks as a calibrated baseline.