Governance is not bureaucracy. It’s the minimum set of rules that keeps AI delivery predictable and auditable.
What to decide before you scale
- Owner: who owns the process and approves changes?
- Data: what’s allowed (PII, sensitive docs) and what isn’t?
- Access: which roles can query, export, or change prompts/knowledge?
- Auditability: what is logged (prompts, sources, outputs, decisions)?
- Exceptions: how do you handle low-confidence cases?
The minimum operating model
- named use-cases + owners
- baseline + KPI for each use-case
- access control + least privilege
- logging + periodic review
- a simple incident process
For delivery that includes these controls from day one, see AI implementation (30/60/90 days).
Related:
- access, logs and sensitive data: AI security and access control
- pilots on Azure with audit-friendly architecture: AI pilot on Azure
See proof from delivery in our case studies (e.g. MyZenCheck or Credizen).
If you want a governance template tailored to your team (finance/insurtech/renttech), contact us via contact.