2h • General Discussion 💬
"AI READY" Means?
“We’re ready to transform our business with AI.”
That’s a lie most B2B teams tell themselves.
I know because I’ve heard it from 20+ execs in the last few months.
Most B2Bs define “AI readiness” as:
hiring AI engineers
buying more tools
waiting for exec buy-in
running prompt workshops
None of that makes you AI-ready.
AI readiness has nothing to do with:
best tools
big headcount
high budgets
training everyone on prompting
Real AI readiness looks boring.
It looks like:
your data is not scattered across sheets, inboxes, and Slack threads
your workflows actually exist and can be explained end to end
there’s one painful, repetitive process everyone agrees to fix
seniors are willing to adapt fully, not “experiment” on the side
AI mirrors what you feed it.
Clean data in → strategic outputs
Messy inputs → automated chaos
Quick self-check for B2B leaders thinking about “introducing AI”:
→ If I asked for last quarter’s customer data, could you give me one source of truth without reconciling five files?
→ If a new hire joined tomorrow, could they understand how work flows without asking three people?
→ Is there one traditional task your team keeps doing just because it’s always been done that way, even though everyone hates it?
If these questions feel uncomfortable, notice that.
That discomfort is the signal.
The move right now is not adding AI.
The move is redesigning decisions, data, and workflows.
Drop what broke when you ran this self-check.
I’ll help you think through the fix in the comments.
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"AI READY" Means?
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