1. Purpose and scope. Who the policy covers (staff, contractors) and what counts as an AI tool: public tools, AI features in your existing software, and any custom or private models.
  2. Approved tools. The AI tools and accounts staff may use, and how to request a new one. Nothing gets connected to company systems without approval.
  3. What must never go into a public AI tool. Client confidential information, personal and special category data, credentials and trade secrets, unless using an approved private deployment with contractual protection.
  4. Data protection (UK GDPR + DUAA 2025). Personal data only where you have a lawful basis and a contract, the provider does not train on your data unless agreed, and it is covered by your privacy notice. Special category data needs extra care.
  5. Automated decisions about people. Where AI makes or materially influences a significant decision (hiring, credit, eligibility), apply the DUAA 2025 safeguards: tell the person, let them contest it, and provide a genuine human review.
  6. A human is always accountable. AI output is a draft, not a decision. A named person reviews and approves anything produced with AI before it is relied on, sent to a client, or published.
  7. Accuracy, disclosure and professional duties. Check facts, figures, citations and code. Be transparent where customers or a regulator would expect it. Never breach SRA, FCA, CQC or other professional obligations.
  8. Security. Approved accounts only, multi-factor authentication, no shared logins, and a clear route to report any AI-related incident.
  9. If you sell into the EU. The EU AI Act can reach UK firms whose AI output is used in the EU. Prohibited practices are already banned; high-risk obligations apply from 2 December 2027.
  10. Breaches and review. Who owns the policy, the consequence of breaching it, and a review at least every six months as the law and your tools change.