Privacy by design
Collect only the information needed for a clear workspace or team purpose.
Learn more→AutoTeams combines privacy controls, secure workspace boundaries, explainable AI and human review so team recommendations remain transparent and accountable.
Trust is not a separate policy page. It is built into how users register, join workspaces, share Team DNA and review Atlas recommendations.
Collect only the information needed for a clear workspace or team purpose.
Learn more→Show the signals, scores and reasoning behind every Atlas recommendation.
Learn more→Authorised users can review, adjust or reject any suggested team outcome.
Learn more→Apply email verification and stronger security according to role and risk.
Learn more→The process keeps data inside the correct workspace and ensures users understand what happens at every stage.
AutoTeams never searches all registered users. Atlas only evaluates eligible Talent inside the active workspace.
Users create an account, verify their email and review security settings.
Access is controlled through workspace membership and assigned roles.
Members choose whether Team DNA may be visible, matched or used in insights.
Atlas only evaluates people inside the active workspace and selected population.
Every result shows the balance, strengths, gaps and reasons behind the selection.
The user remains responsible for accepting, changing or rejecting the result.
Atlas is designed to support people making team decisions, not to make hidden or irreversible decisions about them.
Manage the information Atlas can use and understand the controls available to workspace members.