Governance without theatre

AI Agent Governance

AI agent governance should tell people who owns each workflow, what it may do and when a human must intervene. If those answers only live in chat threads, the process is not governed yet.

01

What AI agent governance means

Governance is the set of decisions and records around an agent throughout its life: approval before launch, access boundaries, accountable ownership, ongoing review and retirement.

It does not need to begin with a large control framework. A small team can start by making the current state visible and agreeing on a few rules for higher-impact actions.

02

Why teams need more than a spreadsheet

A spreadsheet can start an inventory, but it becomes difficult to keep permissions, evidence, findings and follow-up work aligned. Different teams create different columns and old copies keep circulating.

A shared workspace gives each agent a stable record. A permission change can lead to a new assessment, an action and a report without rebuilding the same context.

03

Governance basics: inventory, permissions, owners, approvals

Good governance is visible in daily decisions. Every agent has an owner. Tool access matches the stated purpose. High-impact actions have an approval rule. Exceptions are justified and expire.

  • Maintain one current inventory of agents and automations.
  • Record read, write, send and execute permissions by tool.
  • Assign a business owner and an operational maintainer.
  • Require approval for actions with financial, legal or customer impact.
  • Review accepted risks before their expiry date.
  • Keep reports and decisions available for later review.
04

How Roxea helps

Roxea connects the inventory to risk findings and the action plan. Teams can see why an item was raised instead of receiving a score with no context.

Pro and Business workspaces add risk acceptance, ownership and due dates. Business teams can also use approval workflows, advanced roles, shared audit access and an audit trail.

FAQ

Questions people ask before a review

Put the basic controls in one workspace.

Map ownership, review permissions and document the decisions behind each agent.

Start an agent audit