Today, we are thrilled to announce the launch of the AI agent hub capability in SAP LeanIX Application Portfolio Management, the premier enterprise architecture capability for discovering, managing, and governing AI agents and Model Context Protocol servers across the business. With the AI agent hub, companies gain a comprehensive overview of their AI agents. As a result, companies can inventory available agents, track agent performance, govern agent adoption, and guide strategic decisions around agentic AI.
In support of this, we are also excited to continue our partnerships with Microsoft, Google, and Amazon Web Services. Through our collaboration with these industry leaders, SAP is working to ensure our customers can discover all of the agents they have deployed.
Key features
At SAP, we are dedicated to helping companies maximize their technology investments to foster continuous innovation and transformation. As agentic AI becomes more prevalent, we aim to empower our customers to pursue AI agent adoption strategically and practically.
We designed the AI agent hub in SAP LeanIX Application Portfolio Management to help companies discover, manage, and govern AI agents within the context of their enterprise architecture.
Discovery
The journey begins with discovery. Built-in integrations with major AI agent repositories from SAP, Google, and Microsoft offer an overview of available agents, while a dedicated API using the Agent2Agent protocol allows you to import in-house agents. The agent discovery inbox lets you select the agents you want to add to your inventory and relate them to existing applications, business capabilities, and context within your IT landscape.
Management
SAP LeanIX solutions help ensure that the agents you add to your inventory leverage the applications you already rely on. By extending the best-practice metamodel in the SAP LeanIX portfolio to include AI agents, you can visualize how agents interact with your landscape. This allows you to see which applications agents access, understand supported business capabilities and processes, and identify gaps where agents could be effectively deployed.
Governance
The AI agent hub also offers a suite of governance capabilities. First, it enables you to integrate AI agents into your technology review process by adding them to technology radar reports. Next, you can monitor AI agents’ status throughout their lifecycle to help ensure only approved agents are deployed to your IT landscape. Additionally, you can share a list of approved AI agents with your organization through the AI agent portal. This makes it possible for business users to filter by business capability and find relevant agents to work with.
Enterprise architecture and AI agents belong together
Though we are only at the beginning of the agentic AI revolution, the potential for AI agents to transform our organizations, the way we work, and the products we build becomes more apparent every day.
While there are several ways to manage and govern the adoption of AI agents, situating your AI agent system of record within your enterprise architecture solution helps ensure visibility and alignment across stakeholders. After all, that’s where you already manage the applications, data sources, and APIs that AI agents need to access.
The relevance of enterprise architecture for agent adoption aside, it’s critical to begin managing and governing AI agents sooner rather than later. Microsoft claims that customers have already created over 400,000 agents with Microsoft Copilot, and that number will only grow—and rapidly.
Now is the time to put solutions in place that can keep pace with agent adoption and, ultimately, guide it.
Learn more here.