Giving an AI system the ability to act — send an email, update a record, issue a refund — raises the stakes considerably compared to a system that only generates text a human reviews. Here’s the governance stack we consider non-negotiable for any agent with real-world write access.
Scoped permissions. An agent should hold the minimum set of API and data permissions required for its task — never broad admin access “just in case.”
Defined autonomy tiers. We classify every agent action as auto-approved, requires-review, or human-only, based on reversibility and financial or reputational impact — and that classification is a design decision made with the client, not a default.
Prompt-injection testing. Any agent that ingests external content (emails, documents, web pages) needs to be red-teamed against injected instructions trying to hijack its behavior, before it goes live.
Full audit logging. Every decision an agent makes — including what it considered and why — should be logged in a way a compliance team can review after the fact, not just a support engineer.
A kill switch. Every deployment gets a documented, tested way to pause an agent instantly if it starts behaving unexpectedly, without taking down the rest of your systems.
None of this slows a team down as much as it sounds like it should — most of it is a one-time architecture decision, not ongoing overhead. What it buys you is the ability to say yes to more autonomy over time, because you can actually demonstrate control over what you’ve already shipped.