Most enterprises will not run a single AI agent platform. Sales may use Agentforce, IT may use Microsoft Copilot Studio, and a data team may build on Amazon Bedrock or Google Vertex AI. Without a plan, that quickly becomes dozens of agents and tools nobody can fully see, secure or pay for.
Start with an inventory
You can't govern what you can't see. MuleSoft Agent Fabric can discover agents and MCP servers across major platforms and register them in a central catalog, giving architects and security teams a single view of what exists.
Make tools reusable, not duplicated
Expose core business capabilities (look up an order, check eligibility, create a case) as governed APIs and MCP tools once, then let approved agents reuse them. This avoids every team building its own fragile connection to the ERP.
Put policy in the path
An AI gateway applies rate limits, cost controls and data policies to agent traffic consistently. For high-risk actions, require verified agent identity and human approval before the action runs.
Orchestrate across vendors deliberately
When agents from different platforms collaborate, define the handoffs explicitly, including which agent owns the conversation and what context is passed. Deterministic orchestration for critical workflows keeps multi-agent processes predictable.
Govern with a light touch
The goal is not to slow teams down. A clear registration process, reusable tools and sensible default policies make it faster to launch a well-behaved agent than a rogue one.