An AI agent that can refund an order, change a price or message a customer is acting on behalf of your brand. You need to know what it is allowed to do, what it actually did and whether it is getting better or worse over time.
Agent governance answers those questions. It is the difference between a pilot that leadership tolerates and a system they are comfortable scaling.
What we put in place
- Policies. Plain-language rules for what each agent may and may not do, signed off by the business.
- Permissions. Technical limits that enforce those rules, including spend caps and approval steps for risky actions.
- Action logs. A full record of what each agent saw, decided and did, searchable by your team.
- Evaluation suites. Real scenarios every agent is tested against before launch and after each change.
- Monitoring. Alerts for unusual behaviour, rising error rates or customer complaints.
For agents you build and agents you buy
Governance applies to agents we build under AI agent integration and to outside agents buying from your store through agentic checkout. We use evaluation and observability tools that fit your stack and connect logs to the analytics you already run, such as PostHog.
For the trust questions behind agent purchases, read when an AI agent buys from your store, who do you trust?
