AI agent governance for e-commerce.
Support and ops agents that can issue refunds, change orders, or pull customer data need ceilings and a record. HiveKey caps what an agent can give away, blocks what it shouldn't touch, and logs every action.
You've put an agent on support, refunds, or order ops — and you've realized there's no ceiling on what it can refund or discount on a single prompt.
What an agent can reach here.
Refunds & discounts
Money an agent can give back or away on a customer's say-so.
Customer & card data
PII and payment details under PCI that an agent can read or expose.
Order integrity
Changes and cancellations an agent can make to live orders.
A verdict on every action, before it runs.
Each call an agent makes gets decided in the path — allowed, blocked, or held for a human — and written to one trail.
refund $1,200 (cap $200) block Over the refund ceiling — blocked, escalated to a human.
refund $35 (under cap) allow Within policy — issued and logged.
discount 60% → bulk order approve Unusual discount held for approval.
One policy, applied to every agent.
Ceilings on giveaways
Cap refunds and discounts per action and per day. Over the line, the agent stops and a human decides.
Protect card data
Scope agents away from raw payment data; block egress of customer details in the path.
Every action logged
Refunds, order changes, and cancellations on one attributable trail you can reconcile and audit.
The conversation we keep hearing.
What's the most this agent can refund in a day?
Can it see full card numbers? We're not sure.
A prompt convinced the agent to discount way too much.
Evidence for the audits you already face.
HiveKey produces the access, enforcement, and audit evidence these frameworks expect for AI agents. Not legal advice — a head start on the controls.
Put every agent your e-commerce team runs under one policy.
See HiveKey scope, guard, and block a live action on your own agents — 30 minutes, no slides.