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AI Agent Administration

Give administrators a clear way to govern AI agents as they move from experiments into everyday enterprise workflows.

At a Glance

Operational controls for managing AI agents across enterprise teams, policies, and workflows.

Agent access and lifecycle administration
Team-aware policy controls
Usage oversight for AI-assisted workflows
Governed connections to approved tools
Highlights

Key highlights.

Lifecycle clarity

Agents can be administered as managed enterprise assets.

Approved tools

Agent capability stays tied to approved MCP servers and systems.

Policy fit

Access and behavior controls help agents respect enterprise boundaries.

In This Product

What it covers.

Agent Lifecycle

Manage how agents are introduced, assigned, updated, and retired across teams.

Track agent ownership and intended use
Control which teams can access which agents
Keep agent rollout tied to administrative review

Access And Policy

Apply controls that reflect team boundaries, business context, and risk.

Limit access by user, team, role, or environment
Define policies for tool access and behavior
Keep agent permissions aligned with enterprise controls

Tool Connections

Connect agents to approved MCP servers and enterprise systems without losing administrative visibility.

Restrict agents to approved tools
Make tool access visible to admins
Review agent-to-server relationships as workflows change

Operational Oversight

Understand agent usage and execution patterns as adoption scales.

Review AI-assisted workflow activity
Monitor usage across teams and business units
Keep audit context available for review
Agent Console

Manage agents from discovery to deployment.

Review available agents, inspect their capabilities, and provision them only after the customer environment is ready.

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FAQ

Common questions.

AI Agent Administration

See how this fits your AI rollout.

Talk with CorpAI about the product path, deployment model, and controls that fit your enterprise environment.

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