The governance model
Agentic spend governance starts with accountability. Every spending agent should have a human owner, a documented business purpose, a defined budget and a policy that can be changed or revoked independently.
Finance and engineering need one control plane
Engineering controls credentials and execution. Finance controls budgets, merchants, categories and approvals. A usable governance layer has to express both sets of constraints in one policy rather than forcing either team to operate blind.
Manage the whole agent lifecycle
Controls should cover onboarding, policy creation, testing, production approval, monitoring, policy changes, incidents and eventual decommissioning. Dormant agents should not retain unattended spending authority.
Build the evidence trail
For each payment decision, record the agent identity, policy version, amount, merchant, business purpose, decision outcome and any human approver. That turns spend governance into something finance and audit can inspect rather than a hidden engineering configuration.
Frequently asked questions
Who should own an AI agent's budget?
A named business owner should be accountable, while finance defines or approves the financial policy and engineering implements the execution controls.
How often should policies be reviewed?
Review frequency should reflect risk, but policies should also be reviewed after major workflow changes, incidents or material increases in authority.
What is a kill switch?
A mechanism that immediately stops or revokes an agent's ability to initiate financial actions without requiring the entire agent platform to be shut down.