Why AI governance should come before AI scale
Most organizations add AI governance after the sixth use case, when unwinding it is expensive. Here is the minimum worth having before you scale.
Knowledge
What we have learned doing platform and AI work in real organizations. Nothing gated, nothing ghostwritten by a vendor.
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Most organizations add AI governance after the sixth use case, when unwinding it is expensive. Here is the minimum worth having before you scale.
Discovery finds configuration items. It cannot decide who is accountable when a record is wrong. That gap is why most CMDB programs plateau.
A diligence list for leaders asked to fund an AI pilot. Most failed pilots fail for reasons that were visible in the first conversation.
Application portfolio management stalls when it inventories everything before deciding anything. A narrower approach reaches a decision in a quarter.
Writing cadence. We publish when we have something specific to say rather than on a schedule, so the archive is short on purpose.
If something here matches a problem you are dealing with, we are happy to talk it through without a proposal attached.