Your AI can see everything.
It can't tell what's true.
Connecting AI to your systems gives it access, not judgment. Here's how to tell it what counts before you plug anything in.
What your AI sees vs. what it should believe.
When AI Gets It Wrong
Hypotheticals and chat remarks turned into policy and decisions.
Why Data Isn't Context
Full access, but no one to tell it what actually counts.
What Good Context Looks Like
Source, weight, dates and confidence on every fact AI acts on.
The Readiness Check
Five questions and three piles to test before you connect.
For the people deciding
what AI gets to touch.
Approving the connection is the easy part. Knowing what the AI will treat as true is the part that needs an owner.
CEOs & Business Owners
Know what to ask before you approve the rollout, and what the demo leaves out.
CIOs & IT Leaders
Decide what AI treats as authoritative, what it connects to, and how you'd audit what it did.
Finance & Operations Leaders
Keep AI from acting on expired quotes, forgotten exceptions and half-remembered numbers from Teams.
“A confident answer with nothing to trace looks exactly like a good one.”
