Architecting From Intent to Action: Joule Work and the Knowledge Graph

The way people interact with enterprise systems is fundamentally changing. Instead of navigating menus, filling forms, and manually connecting processes, people will express intent and the system will orchestrate the response.
Joule Work introduces a dynamic engagement layer across business applications and data. It interprets intent, learns from the Knowledge Graph, surfaces contextual insights, automates routine work, and orchestrates AI agents across the enterprise so people can focus on the decisions that move the business forward. The Knowledge Graph provides the semantic backbone: entity understanding, master data relationships, and business context that ground every agent interaction in meaning rather than guesswork.

This session covers the architecture behind both how Joule Work reasons over the Knowledge Graph, how intent is translated into multi-step agent orchestration, and what architects need to design for in terms of data readiness, semantic layers, and integration patterns.

After participating in this live session, you will be able to:

• Understand the architecture of Joule Work as the unified engagement layer and how it orchestrates agents, applications, and data
• Learn how the Knowledge Graph provides semantic and knowledge context - the difference between data and meaning for AI reasoning
• Identify what your systems need to expose (APIs, events, semantic metadata) for Joule Work to operate effectively