AI governance is the set of practical rules, owners and controls that determine where AI may be used and how its outputs are checked. For UK SMEs, that usually means data handling, approved tools, human review, access, retention, audit trails and a clear route for reporting a problem. A policy without an operating process is not governance.
The right control level depends on consequence. Drafting an internal summary does not need the same review as deciding a customer refund, extracting a payment amount or processing personal data. Useful governance classifies use cases by risk, makes accountability visible and keeps a person in the loop where an incorrect output could cause material harm.
This hub covers AI policies, UK GDPR considerations, approval workflows, auditability and proportionate risk assessment. The aim is not to stop useful experimentation. It is to give staff safe boundaries and give leaders evidence that high-impact uses are authorised, monitored and reversible when something goes wrong.