Data readiness
Whether the data an AI project depends on is governed, reachable and good enough to use. It is one of the most common weaknesses in an AI project, and one of the most directly fixable.
What it means in practice
The production article reports that organisations with properly governed data deploy AI roughly 2.4 times faster than those without it. The audit article says data is checked for where it actually lives and whether a tool could reach it.
How we use it
The audit article lists data first among the five things an audit checks, and the audit page has step three weigh each opportunity on whether the data it needs exists in a usable state, before any prototype is built. See what predicts whether an AI project reaches production and what an AI audit actually checks.
FAQ
Questions about Data readiness
What is data readiness?
It is whether the data an AI project depends on is governed, reachable and good enough to use. The production article calls it one of the most common weaknesses and one of the most directly fixable.
How does it affect speed?
The production article reports that organisations with properly governed data deploy AI roughly 2.4 times faster than those without it.
What it means for a business
An audit checks where data actually lives and whether a tool could reach it, not how much of it there is.
Ready to put this to work?
Tell us where your team is with AI and we will tell you honestly what would make the biggest difference.