Identity and provisioning
Who is using it, identified first
Employees apply, administrators review and allocate resources. Who was provisioned is recorded.
Personal tools solve how to use AI. The company also needs to know: where the data is, who can see it, where the money goes, and who picks up when someone leaves.
One project, one group. Discussions, files and AI results stay in the project. When someone new takes over, they don't need to hunt for materials.
Tasks run in cloud workspaces, not on local machines. The environment is configured by the company. Compute and disk are allocated per workspace; ask the admin for more.
Allocate resources, configure capabilities, set quotas and review records — all in one console. Employees use AI as usual; the rules are set by the company.
Identity and provisioning
Employees apply, administrators review and allocate resources. Who was provisioned is recorded.
Handover and takeover
Projects can be transferred. When someone leaves, files, conversations and records stay with the company.
Models and keys
Models, agents and keys are connected by the company, not stored on personal machines.
Project permissions
Project roles decide which models and tools can be used, which files can be read, and whether downloads are allowed.
Quota and cost
Employees see what is left; administrators review what was spent by workspace, project and model.
Execution records
Who started it, which model, how many tokens, whether it succeeded — all searchable.
Desktop and web client

