Tandevia turns AI from a set of disconnected tools into controlled organisational infrastructure — governed access, a shared place to work, repeatable workflows, and digital twins that carry real context.
Work runs through personal accounts and private tabs. There is no record of what was asked, what was sent out, or what it cost.
Read it in mail, look it up in the CRM, ask a model, paste it to a colleague, retype the result. Five tools, one person carrying data between them.
Each prompt starts from zero. How the work actually gets done is never captured, so it leaves when the person does.
Each capability is useful on its own, and each one makes the next possible. Governed access is what allows a shared workspace; work done in the open is what makes a workflow worth building; workflows and context are what a twin is made of.
Every automated step has a named owner and a defined boundary. Approval is part of the design, not a setting somebody has to remember to switch on.
The repeatable half of knowledge work becomes a workflow that runs with review, not a task somebody grinds through.
Cost attributed per team, project and application, with limits set before the invoice arrives.
People keep the models they rely on; the organisation gets the visibility it needs. Nobody has to give up a tool.
Context accumulates where the work happens, so the next person does not start from zero.
Data control, permissions, approval points, model governance, workspace isolation and auditability are how the platform is built. Deployment goes as far as running entirely inside your own infrastructure.
Read how security worksConnect a provider account, put one team in the workspace and watch where the routine work goes. No migration project to schedule.