Agent Lifecycle
Manage how agents are introduced, assigned, updated, and retired across teams.
Give administrators a clear way to govern AI agents as they move from experiments into everyday enterprise workflows.
Operational controls for managing AI agents across enterprise teams, policies, and workflows.
Agents can be administered as managed enterprise assets.
Agent capability stays tied to approved MCP servers and systems.
Access and behavior controls help agents respect enterprise boundaries.
Manage how agents are introduced, assigned, updated, and retired across teams.
Apply controls that reflect team boundaries, business context, and risk.
Connect agents to approved MCP servers and enterprise systems without losing administrative visibility.
Understand agent usage and execution patterns as adoption scales.
Review available agents, inspect their capabilities, and provision them only after the customer environment is ready.
Manage AI agents and their capabilities
Talk with CorpAI about the product path, deployment model, and controls that fit your enterprise environment.