Agent payment controls
Agent payment controls are the rules that prevent an AI agent from spending money without authorization. If an agent can order parts, approve refunds, or process invoices, you need hard limits: dollar thresholds that trigger human review, approved vendor lists, and audit trails that show exactly what the agent authorized and why. This is non-negotiable for any business giving agents access to financial systems.
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Your AI agent can issue customer refunds, order parts from suppliers, and process technician expense reimbursements. Without controls, a misconfigured agent could issue a $50,000 refund instead of $500, order from an unapproved vendor offering a suspiciously low price, or approve an expense claim that violates your travel policy. Payment controls mean hard limits at every level: per-transaction caps, daily spending ceilings, approved vendor lists, and an immutable audit trail that logs every financial action the agent took, which data triggered it, and which rule authorized it.
The mistake companies make is applying controls only at the transaction level. A $499 limit does not help when the agent processes 200 fraudulent $498 transactions in an hour. You need velocity controls (how many transactions per period), pattern controls (flag unusual clustering), and reconciliation controls (automated comparison against expected spend). Think like your auditor, not your accountant.
Questions before giving any agent financial access: What is the maximum total amount this agent could spend in a 24-hour period if every rule fires — and are we comfortable with that exposure? Does our audit trail capture enough detail for a forensic review if something goes wrong? Who gets alerted in real time when the agent approaches a spending threshold — and can they freeze the agent instantly?