Three-Tier Governance
Control who can use which model against which data.
Give IT one place to govern AI access, models, deployment, cost, and organization-wide usage.
Book a Demo

Govern AI without becoming the bottleneck.
As AI adoption grows, IT inherits the risk of shadow tools, unmanaged API keys, and limited visibility into what data AI can access.
Control who can use which model against which data.
Use Gemini, Claude, OpenAI, or other providers without reseller markup or single-cloud lock-in.
Run each agent in a dedicated VM with Google Cloud KMS encryption.
See how IT handles administration and execution workflows simultaneously.
Execution · Google Workspace
Trigger work across Workspace from one command. Use one command to coordinate actions across Docs, Gmail, and Calendar without managing each system separately.
Automation · Coordination
Turn planning sessions into tracked work. Move engineering or operational planning from the initial meeting into Jira tracking and relevant calendar actions.
Control · Visibility
See what AI touched and who approved it. Give IT visibility across models, enterprise data, connected channels, execution activity, and approval history.
Expand governance and flexibility across your entire infrastructure.
01/03
Manage approved models across the organization.
02/03
Choose managed or customer-hosted deployment.
03/03
Maintain controls across Slack, Discord, Telegram, Chrome, Google Workspace, and Jira.
Simplify your AI infrastructure and security posture with centralized governance.