Whitepaper
Somewhere in your organization right now, someone who is not a developer has built a shadow AI tool that actually works. It solves a real problem. People are proud of it.
Nobody can tell you where it runs, what data it touches, or what happens the day that person takes a vacation, or leaves for good.
That is the AI gap: the distance between a tool that works and a tool your organization can actually run. It is opening inside operations and IT teams everywhere, usually without anyone deciding to let it happen.
This guide is a practical field manual for closing it. Not by shutting down the tools your best people are building. By giving them a fast, governed path to bring that work inside.
What You’ll Learn Inside
This is a working shadow AI governance field guide for the moment right after someone on your team builds something good.
Inside, you’ll find:
- • A 7-point readiness check you can run today. Score any shadow AI tool already running in your organization, and find out in a few minutes whether it's exposed, partial, or ready.
- • The four properties every ready-to-ship AI tool needs. A plain checklist, secure, governed, connected, fast, to hold against any vendor pitch or internal project so you know when “it works” has actually become “we can run it.”
- • The reframe that gets your best builders on your side. Why asking “how do we do this with fewer people” kills the conversation, and what to ask instead so the people who understand the work best help you close the gap.
