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Foundation-First AI Readiness Assessment
Five questions. Two minutes. Tells you whether your data foundation is ready for AI or where it's blocking you.
When your team makes a key operational decision, is the relevant data actually being captured, or do you
rely on exports, spreadsheets, or tribal knowledge?
*
A
We rely heavily on manual exports, spreadsheets, or institutional memory
B
Some systems capture data automatically, but coverage is inconsistent
C
The data we need for most decisions is captured systematically
How confident is your team that the data you use is clean and trustworthy, and not just available?
*
A
Data quality issues are a recurring problem; trust is low
B
Data is mostly usable but requires regular cleanup or validation
C
We have reliable processes that keep data clean and consistent
Where do operational decisions actually get made in your organization?
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A
In conversations, meetings, or people's heads; nothing lands in a system
B
Some decisions use data, but inconsistently across teams
C
Key decisions are driven by defined systems with clear data inputs
How would you describe your team's readiness to adopt new AI-powered workflows?
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A
Change is slow; new tools often fail to stick
B
Some appetite for automation, but change management is a recurring challenge
C
The team actively adopts and iterates on tools that solve real problems
If you brought in an AI initiative today, who would own it after the consultant leaves?
*
A
No one; we lack the internal capability or ownership structure
B
Someone could, but it would be a stretch role or secondary priority
C
We have a clear owner with the skills and mandate to drive it
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