Understanding where AI Assistants fit helps clarify the overall Joule ecosystem.
Up to this point, you’ve explored how people interact with Joule through role-based AI Assistants, and how those assistants coordinate Joule Agents to complete work. Now, it’s time to look at how all these pieces fit together.
Joule is not a single feature or capability. It is an ecosystem of components, each with a clear responsibility, working together to deliver enterprise-grade AI that scales across systems, roles, and business functions.
The Joule Ecosystem at a Glance
The Joule ecosystem is organized into three logical layers:
- The Experience Layer, where people interact with AI
- The Execution Layer, where reasoning and automation happen
- The Technical Layer, where AI is built, extended, and governed
Each layer plays a distinct role, but they work together seamlessly to create one consistent AI experience.
The Experience Layer
At the Experience Layer, Joule serves as the interface for all things AI.
Joule creates a seamless experience across SAP and non SAP systems, acting as the single-entry point for AI in the flow of work. Within Joule, AI Assistants provide role-based AI that works like a teammate that are designed around real business roles rather than isolated tasks.
This ensures every person has one smart, context-aware partner in the systems they already use. Users simply describe what they want to achieve, without needing to know which systems, agents, or automation are involved behind the scenes.
Execution Layer: Where Work Gets Done
Behind the experience sits the Execution Layer, where intelligence turns into action.
At this layer, Joule Agents act as specialized building blocks. They plan, reason through, and execute complex, multi-step workflows. These agents operate in the background, calling upon a library of Joule Skills and embedded capabilities to complete business objectives.
AI Assistants coordinate this execution layer on behalf of users, bringing together multiple agents and skills when needed. This enables end-to-end automation across business functions, while keeping the user experience simple and focused.
Technical Layer: Where AI is Built, Extended, and Governed
At the foundation of the ecosystem is the Technical Layer, which provides SAP’s enterprise-grade AI platform.
Here, AI Foundation acts as SAP’s unified AI operating system, enabling customers to build, extend, and run custom AI solutions and agents at scale. This layer includes:
- Joule Studio: For designing custom AI agents and extending Joule with tailored skills
- Generative AI Hub: a secure environment to experiment with and productize AI at scale
- Document AI: For intelligent document processing and automation
- AI Agent Hub in SAP LeanIX: For optimizing AI strategy with centralized governance and visibility across all agents
Together, these capabilities ensure Joule remains secure, extensible, and governed, even as organizations scale AI adoption.
How the Layers Work Together
The strength of Joule lies in the clear separation of responsibilities across these layers:
- Users interact only with AI Assistants in the Experience Layer
- Assistants coordinate agents and skills in the Execution Layer
- All intelligence runs on a secure, governed technical foundation
This layered approach allows Joule to scale from everyday assistance to autonomous, cross-functional workflows, without exposing complexity or compromising trust.
Summary
- Joule is an ecosystem, not a single AI feature
- The Experience Layer focuses on how people interact with AI
- The Execution Layer handles reasoning, automation, and workflows
- The Technical Layer provides the foundation for scalability, extensibility, and governance
- Together, these layers enable intelligent, connected workflows across the enterprise