EACP / Governance

AI Agent Governance Guide

A concise guide for technical leaders, architects and security teams assessing the identity, capability, approval and audit boundaries required before Agents enter production.

01

Manage identity and capability before expanding use

An enterprise Agent is more than a conversational surface. It can use tools, read enterprise knowledge and, in some cases, influence operational actions. Teams first need a clear view of each Agent's identity, ownership, approved capabilities and lifecycle state.

Standardized Skills are not a collection of templates. They turn reviewed practices into versioned, reusable capability assets while retaining control over applicability and change.

02

High-risk actions need an accountable path

Governance is not only an access question. When an Agent handles sensitive data, production release or cross-system actions, the enterprise should recognize risk levels and bring in human confirmation where appropriate.

Audit connects the user, Agent, tool, time and outcome so teams can review what constraints applied, whether the request was approved and whether the result met expectations.

03

Assessment questions create shared language

The guide helps technology, business and security stakeholders assess reusable capabilities, accessible data, approval thresholds and traceability through one shared set of questions.

It stays at the level of governance principles and high-level controls. It does not expose prompts, rule templates, permission algorithms or implementation configuration.

Control flow

Governance from capability admission to review

  1. 01Identity
  2. 02Review
  3. 03Policy
  4. 04Approval
  5. 05Audit
  6. 06Feedback

Assessment

Confirm during assessment

  • Can the enterprise identify Agent ownership, state and version?
  • Can reviewed capabilities be separated from temporary experiments?
  • Do sensitive actions have approval and accountability paths?
  • Can requests, tool use and outcomes be traced together?