Solutions
AI Privacy and Governance
Practical governance for generative AI adoption: tool assessment, data boundaries, oversight and incident handling.
The problem we solve
AI adoption is usually faster than the governance around it. Teams need answers about which tools are acceptable, what data may be entered and who reviews new use cases, long before a formal framework exists.
Who this is for
- Organisations rolling out enterprise AI assistants
- Businesses seeing significant unsanctioned AI use
- Teams building AI features on top of customer data
- Risk and compliance functions asked to approve AI tools
Signs you need this
- No approved list of AI tools, and no route to get one approved
- Employees pasting customer or employee data into consumer assistants
- AI assistants enabled over content whose permissions were never reviewed
- No position on AI-informed decisions about individuals
- No plan for what happens when sensitive data appears in an AI output
What the engagement covers
- AI tool inventory and risk-based assessment process
- Data, tool and decision boundaries agreed with the business
- Vendor review covering training use, retention and sub-processors
- Permission and sharing remediation before assistants are enabled
- AI-specific incident response and escalation paths
- Practical guidance and enablement for employees
Outcomes
- A usable AI policy people can apply without asking
- An approved-tool register with a working review path
- Reduced sensitive data exposure in AI workflows
Learn this yourself, free
Everything in this engagement is taught openly. If you have the capacity in-house, start with the course and templates below — there is no obligation to engage us at all.