AI Readiness Check

Is your data ready for AI?

Most AI projects don't fail because of the model — they fail because of what's underneath it. Answer 7 questions and get an honest read on where your gaps are, before you invest more.

AI Readiness Check

Is your data ready for AI?

Answer 7 questions. Find out where you stand in 2 minutes.

01

Discoverability

If a new analyst joined tomorrow, could they find and understand your key datasets within an hour?

02

Documentation

Do your key datasets have documented field definitions, owners, and descriptions?

03

Natural language querying

Can you ask a plain-English question about your business (e.g. 'Who are our top customers by margin?') and get a reliable answer today?

04

Data trust

Do your teams make decisions from data without double-checking in spreadsheets?

05

Cross-system joins

Can you combine customer, product, and financial data without a data engineer writing custom SQL each time?

06

Production AI

Have you shipped an AI feature to actual users - not just an internal demo or pilot?

07

Leadership strategy

Does your leadership team have 2–3 specific AI use cases that are prioritized and resourced?