What governance should answer
Good AI rules give staff a shared way to work without guessing. They explain what is allowed, what must stay private, who reviews the result, and what to do when something goes wrong.
- What AI tools are approved
- What information cannot be entered
- Who reviews outputs before use
- How incidents, errors, or concerns are reported
What smaller organizations need first
A smaller organization does not need a complex management system on day one. It needs a clear policy, a list of how AI is being used, a basic risk review, and simple staff training.
- AI use policy
- Use-case inventory
- Risk and impact review
- Staff guidance and basic records
How external frameworks should be assessed
External frameworks may offer useful concepts, but any mapping, selection, or adaptation needs documented review against the organization, system, obligations, and evidence. This site does not claim verified alignment or certification readiness.
- Roles and accountability
- Risk assessment and treatment
- Documented information
- Monitoring and continual improvement
Northern BC context
Distance, distributed work, limited local support, and industry requirements can change what will work. We account for those conditions when planning training, support, privacy, and risk.
- Customer-facing AI needs disclosure and review
- Safety-sensitive work needs stronger controls
- Personal or confidential data needs clear limits
- Rural operations need practical support, not paperwork burden