A governed AI workspace your enterprise teams will actually use.
Your teams are already using AI. The question is whether they're doing it somewhere IT can see. Cogniplane is a governed workspace where the skills are approved, the integrations are approved, and the things that should pause for a human do pause for a human. Adoption stops being an argument with the security team.
github.create_pull_request on Cogniplane/handbook with title
"Q3 changelog draft".
Your teams are already using AI. IT has no approved alternative to offer them.
of enterprise GenAI users still use personal AI apps — outside whatever IT-managed account the company already provides.
Finance pastes spreadsheets into ChatGPT. HR writes org docs in Claude. Sales researches accounts in tools nobody approved. According to Netskope, 47% of enterprise GenAI users still use personal AI apps. Nobody's trying to cause trouble. They're just using what works, because there's nothing better available.
Giving everyone a model license doesn't fix this. The harder problem is everything around the model: which skills are allowed, which systems agents can reach, which actions need a human to sign off, what evidence exists after the fact. Those are company decisions, and right now most companies have no way to make them.
The answer isn't to block AI use. It's to give people somewhere better to do it.
Four moves. One control plane.
Configure Agent settings and Policy Center once at the tenant level. Teams open a browser. The runtime does the work, pauses for governed actions, and writes a replayable audit log on the way out.
IT sets up what each team can use
- Agent settings control skills, tools, and integrations
- Approved skills and connectors only, nothing self-served
- Policy Center rules can allow, require approval, or block tools
Teams open a browser and get to work
- No install, no CLI, no setup
- Responses stream live with visible tool activity
- Sessions are saved and fully replayable
- Generated files land in one place
Sensitive actions wait for a human
- Agent pauses before consequential writes and sends
- Reviewers see the exact request, not a summary
- Agent stays frozen until the decision lands
- Users cannot bypass — enforcement happens in the platform
Everything is logged
- Full session replay, message-by-message
- Auth tokens and credentials stripped before storage
- SIEM export coming soon; usable now for internal review
One workspace. Six surfaces of control.
The pieces an enterprise needs to actually adopt agents in production — not just demo them.
Something employees will actually open
- Streaming responses with inline tool activity
- Generated files collected in one place
- Sessions saved and fully replayable
- Works in a browser, no setup needed
The systems your teams already use
- Notion: search, read, query DBs, create and update pages
- GitHub: tenant app plus optional per-user authorization
- Microsoft & SharePoint: browse and import documents
- Custom MCP servers: same governance and audit
Skills and tools the company controls
- Admin-managed skills with custom import and inline editing
- AI-assisted skill improvement based on real performance
- One tenant control plane: Agent settings plus Policy Center rules
- Policy lives at the gateway, not in the prompt
Enforcement, not a PDF
- Pause before consequential actions
- Every tool call visible in the session thread
- Sessions isolated from each other by architecture
- Evidence of who approved what, when
One rollout instead of fifteen pilots
- Single control plane for skills, tools, and access
- Roll out team by team at whatever pace works
- Usage and token cost visible across the org
- The governed alternative to shadow tools
The model the way the vendor ships it
- Anthropic Agent SDK for Claude: tools, streaming, hooks
- Codex CLI for OpenAI: workspace and MCP as shipped
- Model-specific behavior handled correctly
- New capabilities land when vendors ship them
Designed for the security review.
Shipped, in production today — not roadmap. The one item marked PLANNED is the one we're honest about.
Start with one team. Expand when it works.
The AI programs that stall are usually the ones that tried to roll out everywhere at once. The ones that work start small. One team, a handful of approved skills, approval rules you can defend. Prove it there first, then expand.
Pick one department or workflow. We help configure approved skills and set approval rules for their specific risk level. By the end of week one, you have real usage, real approval decisions, and a session history your security team can actually review. Expand from there.
Works for most office teams.
Research, prep, follow-up
- Account research before calls
- Follow-up emails and internal summaries
- CRM and knowledge connectors, if approved
Reports, analysis, process work
- Draft reports, summarize documents
- Analyze uploaded files
- Approval gate before anything gets sent or submitted
Policy Q&A, support, internal ops
- Policy questions answered from approved docs
- Internal support and process guidance
- Sensitive data access scoped per team
FAQ.
If you want the technical detail behind skills, connectors, and approval policies, the public documentation goes deeper.
What makes Cogniplane different from a general AI chatbot?
Cogniplane is built for company control, not just model access. Teams work in a browser-based AI workspace with approved skills, approved connectors, human approval gates, and a replayable audit trail.
Can we limit what each team can access?
Yes. Admins use Agent settings and Policy Center to control which skills, tools, and integrations are available, and which actions need approval or are blocked before they run.
Do actions require human approval?
When a workflow reaches a consequential action such as sending, writing, or exporting, Cogniplane can pause the agent and require an explicit approval decision before anything happens.
How does Cogniplane handle security and auditability?
Cogniplane uses isolated sessions, short-lived credential contexts, and secret redaction before persistence. Every session, tool call, approval, and generated artifact is captured in a replayable history.
A real deployment. Real data. The approval flow on. No slideware.
Leave your email and we'll set up a demo. You'll see a real deployment scoped to one team, working against real data, with the approval flow turned on.