AI agent use case

Enable enterprise AI agents

Publish bounded tools and approved business context for agents without embedding raw source credentials, schemas, and change cycles in every agent.

Agent tool policy tester

Test an allowed and blocked agent operation

Change the requested operation to inspect the bounded tool, policy result, response, and provenance.

Interactive product experience

Select an agent operation.

Source systems

ERPDatabasesLegacy applications
Active scenario

Lookup inventory

Approved read-only operation

The agent receives current inventory context through a purpose-built tool without raw source credentials.

Result and contract

Policy result
Allowed
Response
184 each at DC-07
Provenance attached

Consumers

AI agents and copilots

Guided explanation

The customer problem

The customer problem

Agents need current enterprise context and operations, but direct source access expands credential, schema, policy, and change risk.

What this enables

  • Give agents stable tools rather than source credentials.

  • Make operations and provenance inspectable.

  • Reuse the same governed business contracts across agents and applications.

Give the agent a governed business tool, not broad system access.

Purpose-built agent APIs make allowed operations, response fields, policy, ownership, version, and provenance explicit at the interface boundary.

Identify the agent tasks that need stable enterprise context.