ORVYN for Enterprise
Roll out AI agents
your security team can sign off on.
Give engineering teams an autonomous agent with organization-wide policies, roles, usage limits and a complete audit trail — governed centrally, delegated safely.
Governance
Policies that follow every mission.
Admins set the rules once, for every workspace. Changes apply to new and running missions and are themselves logged.
Approval policies
Require a human for production restarts, deploys or secret use — regardless of a mission’s autonomy level.
Roles and workspace access
Owners, admins, engineers and viewers, with access granted per workspace and per resource.
Model policy
Choose which model lanes and custom endpoints your organization may use.
Usage limits
Monthly token budgets and cloud worker hours per organization, visible to admins.
Built for organizations
What Enterprise adds.
Tenant isolation options
Your organization’s data boundary, keyring and resources, with isolation options discussed during onboarding.
Custom MCP servers
Connect internal tools and APIs through MCP so missions can use them with the same permissions and audit.
Custom model configuration
Bring approved model endpoints, including models your organization hosts.
Organization audit log
Filter every event by approvals, secrets, commands and files, across all workspaces and missions.
Seat and role management
Invite people, assign roles and remove access from one place.
Dedicated onboarding
Help from KERNEL AI Labs to plan workspaces, policies and first automations.
Rollout plan
From pilot to every team, in four stages.
- 01
Pilot
One team, one repository, Ask or Auto Read autonomy. Measure what ORION finishes and what it asks.
- 02
Policies
Write approval rules for production, connect staging servers through the vault, set budgets.
- 03
Automate
Move repeatable work — dependency audits, smoke tests, PR reviews — into automations.
- 04
Expand
Add teams and workspaces, raise autonomy where the audit log shows it is earned.
For your security review
Answers your reviewers will ask for.
We’ll walk through each of these with your team.
- Where code, files and artifacts are processed and stored
- How secrets are encrypted, referenced and kept from models
- What the audit log records and how long it is retained
- How tenants and cloud workers are isolated
- Which actions can be forced to require approval
KERNEL AI Labs does not claim compliance certifications on this site. Ask us for current security documentation.
Plan an ORVYN rollout with KERNEL AI Labs
Tell us about your environment, your security requirements and the missions you want to delegate. We’ll propose a pilot scope and the policies to start with.
Questions
Enterprise questions
Can we control what the ORVYN agent does across our organization?
Yes. Admins set agent policies for all workspaces — for example requiring approval for production restarts and deploys — plus roles, workspace access, model policy and usage limits.
Can we connect internal tools?
Yes. Internal tools and APIs can be connected through MCP servers and used by missions under the same permissions and audit trail.
Can we use our own models?
Enterprise supports custom model configuration, including approved endpoints your organization hosts.
How do we evaluate ORVYN safely?
Start with a pilot team at Ask or Auto Read autonomy on one repository, add approval policies before connecting production, and review the audit log before raising autonomy.
Who is behind ORVYN?
ORVYN is built and supported by KERNEL AI Labs.
Stop prompting.
Start delegating.
Give ORVYN the goal and stay focused on what matters.