Data Privacy and Sovereignty

What's included

• •An inventory of AI tools, accounts, browser extensions, vendors and the team's real habits.
• •A review of terms of use and workflows involving ChatGPT, Gemini, Copilot, automations, forms or shared documents.
• •Classification of sensitive information: customers, contracts, finances, intellectual property and personal data.
• •A practical safe-AI policy with a data traffic-light system and rules the team can actually apply day to day.
• •A plan of controls and private, hybrid or controlled alternatives, sized to your budget and risk level.

Expected outcome

• •Lower risk of a critical information leak or accidental exposure of customer data.
• •Clear rules so the team can use AI without freezing up or getting stuck on confusing permissions.
• •Better readiness for audits, contracts, regulatory compliance and B2B client conversations.
• •More sovereign technical decisions: what can go to the cloud, what must stay private, what needs traceability.
• •A secure foundation for deploying internal agents without turning efficiency into a legal problem.