AI pilots need governance answers before they can scale

TL;DR

AI pilots stall at scale when security and risk teams cannot answer what each system can reach, who owns it, or what happens if it touches something it should not. The source recommends one cross-provider inventory covering users, costs, access and named ownership, distinguishing production systems from pilots.

Original by James Westlake, on Rencore. Read the original

This is our own summary, not a republication or full translation.

Governance takeaway

• Makers: Record the system owner and intended users for each AI pilot so responsibility does not disappear when the pilot expands.
• Admins/CoE: Build an inventory across providers showing usage, cost, ownership and reachable content or systems, because provider consoles reveal only part of the estate.
• Security/Compliance: Require evidence for reach, ownership and unintended access before approving scale; an unanswered question can keep a working pilot from production.
• Leadership/Business: Count active production use and stalled pilots against business-case assumptions, because renewing low-use pilots obscures value and weakens future funding.