Adopting AI Tools Without Breaking Compliance
A compliance-first framework for welcoming AI into the company: inventory, data rules, vendor review, and policies people actually follow.
- Run an AI usage inventory first — survey employees on what they're already using (they are, whether sanctioned or not) and evaluate each tool against your data-classification rules.
- Classify what may never go into AI tools: personal data, health information, credentials, unpublished financials, and customer data under confidentiality obligations. Publish the red list in one page, not a forty-page policy.
- Vet vendors on four axes before approval: data retention and training opt-outs, SOC 2 / ISO certifications, data-residency and subprocessors, and contract terms on breach notification and deletion.
- Write a short acceptable-use policy with examples ('OK: summarizing public competitor docs. Not OK: pasting customer contracts into a consumer chatbot.') and train teams on it in 30 minutes — long policies create shadow AI, clear ones create compliance.
- Review quarterly: re-run the inventory, check for new vendor features that change the risk picture (many tools quietly enable training on your data), and audit a sample of usage against the policy with education, not punishment, as the default response.