Review before apply
AI changes are handled as proposals first, so teams can inspect the diff before reflecting them.
Security
Your workspace needs controls, not just access.
Panezy focuses on safe operational controls for team-and-AI collaboration: reviewable writes, role-aware access, page-level AI read restrictions, and traceable history.
Role-aware collaboration
Role control remains visible in the workspace model with admin, editor, and viewer responsibilities.
Traceable change history
Page history and diff review make it possible to inspect what changed and restore when needed.
AI governance is part of the product surface
Panezy is designed so teams can control what AI is allowed to read or write, instead of treating agent access as an all-or-nothing switch.
Write policy is explicit
Admins can keep MCP writes read-only, require proposal review, or explicitly allow auto-apply depending on the workflow.
Human approval remains part of the flow
AI writes can be routed through proposal review and move to pending_human when a human decision is required.
Pages can be excluded from AI access
Sensitive pages can be excluded from AI read scope with the ai_read_prohibited label.
read_onlyproposal_reviewpending_human
What teams can control today
AI read guard
Use ai_read_prohibited when a page should stay outside AI read scope.
Progressive write policy
Keep automated writes in read_only or proposal_review until the workflow is ready.
Operational visibility
Admins can review audit-oriented surfaces and operational state inside the workspace.
Context stays attached
Search, fetch, comments, and shared URLs stay connected to the same page context.
Shared responsibility
Safe operation is shared between the product guardrails Panezy provides and the access policies each team chooses to enforce.
Panezy provides
- Proposal review and controlled apply flow
- Page history, diff, and restore surfaces
- Role-aware workspace behavior and audit visibility
Your team decides
- Who receives admin / editor / viewer access
- Which pages are excluded from AI read scope
- When writes stay read-only vs. proposal_review vs. auto_apply
Put AI work inside a workflow your team can actually trust.
Review the product fit on public pages, then continue with pricing or a direct inquiry.