Govern Every AI Action
With Policy, Not Hope
Trellios controls what your AI agents can and cannot do, enforced at the platform level. No manual review of every output required.
Book a demoRules that work even when you're not watching
Governance that depends on humans reviewing every output is not governance. It's just manual work with extra steps. Trellios enforces your policies at the platform level.
Define rules that every agent follows: brand standards, content restrictions, usage limits. Set them once and Trellios enforces them automatically on every action, every time.
Connect your brand guidelines and tone-of-voice standards directly to the platform. Agents that produce non-compliant output are flagged before it reaches a reviewer.
Every agent action is logged with full context: what was requested, what was done, who approved it, and when. Compliant by design, not by documentation effort after the fact.
Set it once. Enforce it everywhere.
Set the rules that govern agent behavior across your organization. Start with brand standards and content policies. Add compliance rules as your program matures.
Policies are automatically applied to every agent in your workspace. New agents inherit your existing rules from day one. No per-agent configuration required.
Use audit logs to identify where policies are working, where agents are being flagged, and where rules need adjustment. Governance that improves with use.
See it in action
Book a walkthrough and see how Trellios enforces your governance policies across a live agent workflow.
Book a demo