AI agent governance

Decide what your AI agents may do, and see what they did.

AI agents now write code, file work and change it. Each tool keeps its own part of the story. Who allowed a change, what the agent actually did and whether anyone checked it end up in different places. FEATit keeps those answers with the work itself, from your first agent on.

Why a change log is not governance

A log that says a file changed shows that something happened, not whether it should have. FEATit keeps the reason with every piece of work, in one place, as the work happens:

  • The request it answers
  • The decision that allowed it
  • The person or agent that did it
  • The check that confirmed it

Governing AI work means being able to answer who asked for it, who allowed it, who did it, and how we know it is right. Permissions, holds and sign-off only mean something when they are tied to that reason.

Often the request sits in a chat, the decision in a meeting, the change in a repository and the approval in an email. With agents doing more of the work, putting them back together gets harder. Here, the answer is already assembled, and it can be read by someone who was not there.

Coming soon for Enterprise

Talk to us about any of these — several are already shaping how we build them.

  • Single sign-on, enforced for your verified domain
  • SCIM provisioning and deprovisioning
  • Administration across organisations and business units
  • A service-level agreement
  • EU data residency in our cloud

Tell us what your organisation needs

The early-access form asks for it directly, so it reaches us as a lead, not a guess.