How We Handle AI Governance in Practice
Governance is not paperwork. It is the access rules and logs that let you ship AI you can stand behind when someone asks.
Governance sounds like a slide deck and a committee. In practice it is a set of small technical decisions you make while building, and they are what let the system go live at all.
The parts that actually matter
The assistant should only see what the current user is allowed to see. Every answer should be logged with its sources. There should be a clear line for the cases a person must review. Get those three right and most of the policy questions answer themselves.
Our defaults
- Least privilege access from the start, not added later.
- Full audit trail on every request and response.
- Human sign-off on anything sensitive or irreversible.
It makes you faster
Teams think governance slows them down. It is the opposite. When access and logging are handled from day one, you can say yes to the risky use case, because you can show exactly what the system did and why.
