Shadow AI
Staff paste client and patient data into consumer chatbots, with no agreement in place.
RenOS sends each task to the right model under your organization's policies, and writes an audit trail automatically. Your team just asks. Your admin sees everything without asking anyone.
Staff paste client and patient data into consumer chatbots, with no agreement in place.
You pay for several AI tools and can't see how any of them are used.
When someone asks what the AI did with that data, nobody can say.
How It Works
People pick a mode and describe the task. Policy and routing happen in the background, and the record writes itself.
Sign in with your company account. Your role is already set. Choose Chat, Builder or Agent and describe the work.
Draft a rent-increase notice for Maple Court...
Rules by data sensitivity, task type and role run before any model sees the task. You get a plain-language reason. See policy routing.
Approved frontier model
Every step lands in a tamper-evident audit trail. Accept the result and the session closes. Nothing to export.
Result accepted · no overrides
The Governed Session
Each task is one governed session: who ran it, on which model, under which policy, with what outcome. See how governance works.
In Plain Language
Kevin asked for a rent-increase notice. Because it involved confidential tenant data, policy required an approved frontier model. It ran in 4.2 seconds. Kevin accepted it. No overrides.
Capabilities
The wedge is governance. The rest makes it usable every day.
Rules by data sensitivity, task type and role, enforced before a task reaches any model.
See policy routing →Every governed task writes an entry. Nobody has to remember to document anything.
See the audit trail →One place to see sessions, cost and policy activity, and to change a rule that applies to the next task.
See the admin dashboard →Frontier and open models behind one interface, so you can switch suppliers without retraining your team.
See supported models →Keep sensitive work on your own machines when policy calls for it.
See security →Run several models or agents at once and compare results, with policy applied to each.
See Agent mode →Who It's For
Multi-user organizations with a compliance duty, client confidentiality, or a growing AI bill. See all solutions.
RenOS is an AI operating system for teams, and the governance layer for AI at work. It gives your people one workspace across many AI models, routes each task by your rules, explains every decision in plain language and writes an audit entry automatically. Read what an AI operating system is.
An assistant answers questions. RenOS sits across every model your team uses and adds the policy layer, audit trail and admin view across all of them.
Frontier and open models through one workspace, plus your own keys on Enterprise and local models on your own hardware. See supported AI models.
You choose which models and suppliers each task may use, by data sensitivity, task type or role. Every choice is logged with its reason.
Yes. Private deployment runs RenOS on your own infrastructure with local models. See security.
Start with a 60-day pilot: one team, one real workflow, up to 15 seats and a written success plan.
See governed sessions in your own workflow within days, not quarters.