About 7 min read

Frequently asked questions

Ownership, deployment models, how workspaces relate to billing, and what to expect when you scale.

Who owns my data?

Your workspace content and agent outputs belong to your organization under your agreement with Smart AI Team.

Deployment choice (cloud vs customer-managed) changes where bytes physically live—not the product model of workspace isolation.

Enterprise deployments can target customer VPC or dedicated infrastructure; talk to us about network, identity, and support expectations.

The same workspace and tenancy concepts apply so your teams are not relearning a different product when infrastructure moves.

Metering hooks exist so usage can align with real compute and value delivered—not only seat count.
Exact commercial packaging is published on the pricing page and may evolve; architecture stays metering-friendly.

If you are evaluating against familiar tools, start with Compare for side-by-side positioning.

If you are implementing, read How it works and Security & isolation, then pilot a single workspace before rolling out org-wide.

What is Smart AI Team? — Smart AI Team is the operational home for your AI workforce—workspaces, agents, tasks, and governed execution in one place.
The AI operating layer for teams — Why a chat window is not enough, and how Smart AI Team maps intelligence onto real org structure and workflows.
How it works — Control plane, tenant runtimes, sessions, skills, and channels—how the pieces fit without sacrificing isolation.
Workspaces and tenants — Per-customer runtimes, branded domains, SSO handoff, and why isolation is a product feature—not an afterthought.
Documentation overview