Propose
The AI prepares the recommendation, target, evidence, expected effect, and proposed action.
DIRECT ANSWER
How should human approval work for consequential AI agent actions?
A governed AI system should separate proposing an action from having authority to execute it. When an action can materially affect people, money, legal obligations, security, external systems, or important company operations, the system can require an authorized human to review the proposal and grant explicit, action-specific approval before execution.
CONSEQUENTIAL AUTHORITY
AI capability and organizational authority are different things.
An AI role may be capable of analyzing a contract, preparing a payment, drafting an external message, or planning a system change without automatically receiving the authority to commit the company to that action.
Evaluate policy
Permissions, scope, risk, environment, and approval requirements are checked before execution.
Approve
An authorized human can approve or reject the specific consequential action rather than granting open-ended authority.
Execute and verify
Approved actions can be executed through governed integrations and recorded with their result and verification state.
RISK-BASED CONTROL
Not every action needs the same approval boundary.
Low-risk work
Reading permitted data, summarizing information, analyzing options, and preparing drafts can operate within defined role permissions.
High-impact writes
Changing important records, sending external communications, publishing, deleting, or modifying production systems can require stronger controls.
Financial and legal effects
Payments, purchases, contractual commitments, legal positions, and similar actions can remain subject to explicit human authority.
Security-sensitive actions
Credential, access, permission, infrastructure, and security changes can use narrow scopes and mandatory approval where appropriate.
RYTHM GOVERNANCE MODEL
Human authority is part of the operating model, not an afterthought.
RYTHM is designed around role permissions, risk boundaries, approval gates, traceable execution, and Human CEO authority. The purpose is not to force a human into every routine action; it is to preserve clear decision rights when AI work crosses a consequential boundary.
GO DEEPER
See how governance fits into the wider AI company operating model.
Reviewed and updated 2026-09-04.