Enterprise
AI assets need governance as teams scale.
Once AI instructions drive customer-facing processes, they need the same controls as the rest of your software: ownership, review, history and access control.
What matters at scale
Control without slowing teams down.
Centralized assets
One place where the organization's prompts, workflows and agent definitions actually live.
Permissions & roles
Decide who can view, edit, comment on and publish each asset.
Publishing control
Draft and published states, per-asset visibility, and a clear record of what is live.
Governance
Version history, change tracking and review so AI behaviour changes are traceable.
Integrations
API, MCP and CLI access so internal systems consume approved assets, not copies.
Administration
Team management, seats and workspace structure that follow how your organization works.
Architecture
Source of truth, not another silo.
Source of truth
PromptVerse Assets
Versioned, tested, permissioned.
- → API
- → MCP
- → CLI
- → Applications
- → Workflows
- → AI agents
- → Dev environments
Security & compliance
What we will and won't claim.
Stop managing AI in copy and paste.
Create a system for the prompts, workflows and agents your business depends on.