Do You Know Where Your Business Data Goes When Your Staff Use AI?
AI privacy starts with visibility. You cannot govern an AI estate you cannot see.
The approved-tool problem
A business may approve Microsoft Copilot while staff also use personal ChatGPT, Claude, meeting transcription tools, browser extensions and AI features inside existing software. The question is not only which AI the business bought, but where business data is actually going.
Account type changes the controls
The same model can sit behind a personal account, a business-managed workspace or an enterprise service. Privacy terms, administration, retention, identity controls, auditability and data residency may differ.
Discover the data flow
Map the user, AI service, business data, model or processing step, storage and retention, connected applications and final output or action. At each point ask what data is involved, where it goes, who can access it, how long it remains and what permission exists.
Privacy is not one checkbox
OpenAI states that business and API data is not used for model training by default, while its current residency guidance distinguishes storage at rest from inference. That is a useful example of why supplier claims still need to be read in context rather than reduced to a single “private” label.
Turn unknown AI into governed AI
Discover the real estate, classify tools and accounts, map data, assess controls, approve or restrict use, enable safe routes for staff and review the position as tools and terms change. Better privacy controls can unlock better AI adoption.