The problem nobody can see
Building an AI agent is easy now. Governing the dozens that follow is not.
Different teams build agents with different tools and frameworks. Finance picks one approach, procurement another, and a data team spins up something on a third cloud. Each decision is reasonable locally. Together they leave the organization with no central visibility.
The results are familiar:
- Duplicate agents solving the same problem in different corners of the business
- Inconsistent controls, where some agents are reviewed and others never are
- Governance gaps that stay invisible until something goes wrong
SAP AI Agent Hub is built for this situation.
What is SAP AI Agent Hub?
SAP positions AI Agent Hub as the enterprise command center for AI governance. It is a single entry point to discover and govern AI agents, LLMs and MCP servers across your landscape. It is built on SAP LeanIX, which brings enterprise architecture discipline to agent management.
It is also vendor-agnostic. It is not limited to SAP agents. Agents are brought into the hub whoever built them and whatever framework they run on, so governance decisions are made with architectural context.
Why architecture context matters
Most inventories tell you that an agent exists. The hub connects it to the rest of your landscape:
- The applications and IT components it depends on
- The business capabilities and processes it supports
- The data objects it touches
- The people and organizational units that own or use it
This is what makes duplicates visible. When two agents map to the same business capability, the overlap shows up in the data instead of surfacing by chance in a meeting.
How the hub works: the agent lifecycle
SAP describes the hub as covering five lifecycle phases, from planning an agent to retiring it.
1. Plan and build
Enterprise architects can plan new agent initiatives and check them against the existing landscape before development starts. Developers get the same context through Joule Studio, which integrates with the hub through the LeanIX MCP server. Builders see the right building blocks and business alignment while creating the agent, rather than discovering conflicts at review time.
2. Discover and provision
The hub discovers agents through managed integrations across SAP and non-SAP environments:
|
Source |
What is discovered |
|
SAP |
Standard agents, custom agents built on Joule Studio, and partner-built agents |
|
Third-party platforms |
Agents on Microsoft Azure, Google Cloud, AWS, ServiceNow and Databricks |
|
Local environments |
Agents in developer setups, including Claude Code (described as in preview) |
|
MCP servers |
Found via Integration Suite connectors and MCP Builder |
|
LLMs |
Found via SAP AI Core |
Discovered assets land in an inbox. Newly discovered agents, MCP servers and models arrive in an unverified state, so nothing is trusted by default. From the inbox you can link an item to an existing fact sheet, create a new one, or reject it.
Each registered agent becomes a standardized fact sheet covering identity, ownership, capabilities, technology stack and governance status. Verification checkpoints keep agents that have not passed the required checks in a pending state until they are cleared.
Registering an agent also triggers provisioning through SAP Cloud Identity Services, which creates the agent’s identity record and aligns it with enterprise access policies.
3. Observe and analyze
Session telemetry from supported SAP-managed agent runtimes flows into SAP Cloud ALM. There it feeds dashboards showing evaluation rates, error root causes, session volumes and performance trends. Teams can spot anomalies before they affect business operations.
4. Secure and govern
This phase puts the guardrails in place:
- Ownership and accountability: every registered agent has a clear owner.
- Architecture review: agents are checked against enterprise architecture standards and business capabilities.
- Verification records: structured records capture assessment results for each agent and MCP server.
- EU AI Act support: risk assessment extensions and a purpose-built survey capability help classify agents by risk category and manage documentation and ongoing obligations.
- Runtime enforcement: the SAP Agent Gateway applies access policies defined in the hub, so agents only invoke permitted tools, APIs and data sources.
5. Optimize and decommission
SAP Signavio Process Intelligence can analyze agent execution traces through an AI Agent Mining connector. It shows how agents move through process steps, where they deviate and what they cost to run. That evidence helps you find redundant or underperforming agents and decommission them with minimal disruption.
The core capabilities at a glance
- Agent and MCP registry: a central catalog of agents, MCP servers and LLMs, connected to the wider LeanIX inventory. It includes SAP-curated suggestions that help teams find an existing agent before building a new one.
- Evals and assessment: structured assessment and verification. An AI governance assistant is described as in preview.
- Identity and access control: agent identities managed alongside human identities in SAP Cloud Identity Services.
- Observability: agent dashboards in SAP Cloud ALM.
- Agent mining: behavioral and conformance analysis through SAP Signavio.
- Org and skills mapping: SAP SuccessFactors integration maps agents to business units and roles, helping with impact analysis and workforce planning as agents take over tasks.
The SAP integration landscape
|
Integration |
Role |
|
SAP LeanIX |
Foundation: architecture inventory, fact sheets, architecture decisions |
|
SAP Cloud ALM |
Observability and operational monitoring |
|
SAP Signavio Process Intelligence |
Agent mining and conformance analysis |
|
SAP SuccessFactors |
Mapping agents to organization and skills |
|
SAP Cloud Identity Services |
Agent identity and access control |
|
SAP Integration Suite |
MCP server management through MCP Builder |
|
Joule Studio |
Agent development with architecture context |
A practical first step
If you already use SAP LeanIX Application Portfolio Management, AI Agent Hub is available in your workspace. An administrator activates the optional AI Agent Hub feature in the admin area and configures the discovery integrations.
A pragmatic way to start:
- Run discovery on one or two platforms where you suspect the most activity.
- Review the inbox and decide what to link, create or reject.
- Assign owners to every agent you keep.
- Look for overlap, meaning agents mapped to the same business capability.
- Define your verification criteria before agents move to production.
Most organizations learn something from step one: there are more agents than anyone expected.
Closing thoughts
Agents are moving from experiments to enterprise infrastructure, and infrastructure needs an inventory, ownership and controls. SAP AI Agent Hub offers one shared view for architecture, security and business teams, so governance can keep pace with adoption.
- SAP Help Portal: SAP AI Agent Hub documentation
- SAP LeanIX: AI Agent Hub overview
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