Let non-engineers set the rules
Gatelyr gives non-technical teams a way to define what's allowed and what isn't — which models can be used, what data can be shared, and when a human needs to approve something — without waiting on an engineering ticket, and without those rules just living in a policy document nobody checks.
The problem
Legal, security, and compliance teams usually have no way to control what AI can and can't do inside their own company — every rule change, from which model a team can use to what data it can touch, has to go through engineering.
How it helps
What this means day to day
Set rules without writing code
Legal and compliance can define policies directly, instead of routing every change through engineering.
Control which models see which data
Keep regulated or sensitive workloads on approved models, and off the ones you haven't cleared.
Require a human sign-off where it matters
Flag certain requests or actions for approval before they proceed.
Know who changed what, and when
Keep a clear, reviewable history of every policy change over time.
Apply different rules to different teams
Give a regulated business unit tighter controls than an internal experimentation team, from the same policy set.
Turn a policy into something actually enforced
Move rules out of a document nobody re-reads and into something applied automatically to every request.
Want to see this on your own use case?
Contact Us to see let non-engineers set the rules on real traffic.