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.
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 are on personal, unmanaged tools. 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.
And the tools keep getting more capable. Unapproved AI that only pasted text is a different problem than unapproved AI that can take actions.
The answer isn't to block AI use. It's to give people somewhere better to do it.
Admins configure which skills, tools, and connectors are available to each team. That policy lives in the platform. Users work within it, they can't change it.
No install, no CLI, no setup. Employees use Cogniplane like any other web app. They can research, draft, summarize documents, and run workflows with whatever tools the admin approved for their team.
When the agent is about to do something consequential, like sending an email or writing to a system, it stops and asks. The right person gets a notification. Until someone approves or rejects, nothing happens.
Every session, tool call, approval, and generated artifact goes into a replayable history. Secrets are stripped before anything is written to storage, so the audit trail is actually usable.
A lot of enterprise AI gets deployed and ignored. Cogniplane is a chat workspace. People recognize it and use it, and the controls IT cares about are already in place underneath.
Cogniplane connects to the tools your teams already use. Admins enable each integration per tenant and decide whether reads, writes, or both are turned on. Writes still go through the approval gate, so nothing surprising happens in production data.
What each team can do is decided by admins, not by users. There's no plugin store, no self-service connectors. If it's not on the tenant policy, it isn't available in the workspace.
Most AI governance today is a terms-of-use document and some hope. Cogniplane enforces what's allowed at runtime. Approval gates fire. Sessions stay isolated. The audit trail records what actually happened.
Most companies have three AI pilots running in parallel with no common governance story. Cogniplane gives you one place to manage who has access to what, and one audit trail that covers everyone.
Most AI platforms abstract across models with a generic layer. You get breadth, but lose depth. Cogniplane runs each model through the harness its vendor actually ships and maintains. When Anthropic releases a new capability, Cogniplane users get it. There's no abstraction layer to update first.
We built the security model first. Multi-tenant isolation. Short-lived credential contexts. Secrets stripped before anything is written to storage. We do regular review passes and ship the fixes; we don't put them on a roadmap.
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.
If you want the technical detail behind skills, connectors, and approval policies, the public documentation goes deeper.
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.
Yes. Admins define a tenant policy that controls which skills, tools, and integrations are available, and which actions need approval before they run.
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.
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.
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. No slideware.
No sales process. Just a real conversation.