Integration to Joule Under Construction
The CAP-level AI features seamlessly integrate with SAP Joule Work and SAP Joule Studio, providing a unified environment for developing, deploying, and managing AI-driven agents, and facilitating seamless collaboration between human users and AI agents.
Under Construction
This guide is currently empty, yet we still decided to publish it to provide early visibility into (a) the fact that we are actively working in these areas, of course, (b) some hints about the preliminary ideas and approaches we are exploring, and (c) the directions we are heading with Joule integration overall.
Why CAP-level Agents & AI?
Understand the benefits and rationale behind using CAP-level agents within the Joule ecosystem, and how they nicely complement and promote the capabilities of SAP Joule Work and Joule Studio.
Using CAP MCP Services in SAP Joule Work
Use CAP MCP Services from SAP Joule Work as your AI client.
Using CAP MCP Services in SAP Joule Studio
Build agents in SAP Joule Studio that interact with MCP services provided by CAP applications, e.g., from Joule Studio-built agents, leveraging Joule Studio's unique intent-based development capabilities.
Using CAP Agents in SAP Joule Work / Studio
Similar to using MCP services, CAP agents can be leveraged within both SAP Joule Work and Studio to enable intelligent interactions and automation, with delegated decision-making and execution of sub-tasks to CAP-based sub agents.
Deploying CAP Apps to SAP Joule Studio Runtime
By deploying CAP applications to the SAP Joule Studio runtime, you can leverage the full capabilities of CAP-level agents and MCP services within the Joule ecosystem. Not the least will you benefit from reduced TCO (Total Cost of Ownership) and improved operational efficiency.
Governance with SAP MCP Gateway
The SAP MCP Gateway provides governance capabilities for managing and monitoring CAP-level agents and MCP services within the Joule ecosystem. It ensures compliance with organizational policies, security standards, and operational best practices, enabling reliable and controlled AI-driven interactions.