AI Data Readiness Survey · September 2026

Is your organization's data ready for AI?

A lot of AI pilots stall on the company's own data long before anyone argues about which model to use. Twelve questions, about two minutes, and your answers help show how common that is.

Take the survey

Senior leaders
12 questions
About 2 minutes
Anonymous

Why we're asking

A team picks an AI tool, the demo looks great, and then it meets the company's real data.

Customer records spelled four different ways. A CRM and a billing tool that disagree on what counts as an "active" account. A spreadsheet only one person knows how to update. A few months later the pilot is quietly parked and the tool takes the blame.

Operators describe some version of this over and over. We want to find out how often it happens, where it hurts most, and whether leadership sees it coming.

What the survey asks about

Every question is multiple choice or a quick scale, except the last one. None of them ask for your name or your company's name.

How ready your data is today

Clean and connected, ready in pockets, mostly not ready, or never assessed.

What your data foundations look like

A single source of truth, one place with uneven quality, or systems that don't agree with each other.

Projects that stalled

Whether an AI project underdelivered in the past year mainly because of data problems.

Where the data bites

Quality, silos, mismatched IDs and definitions, access, sensitivity, and gaps in history.

Who owns the fix

A data team, IT on top of everything else, each business unit, a steering committee, or nobody.

Pressure and investment

Whether you're pushed to deploy faster than your data allows, and where data spending goes next year.

What you get for two minutes

A benchmark

The combined results will be published, so you can see how your organization compares with others.

No exposure

The survey doesn't collect names or email addresses. Answers are only ever reported in aggregate.

A say in the findings

Your answer to the open question may be quoted, anonymously, in the published report.

The question we most want answered

What is the one data problem that, if fixed, would most change what AI can do for your organization?

It's optional, and it's the last thing we ask. If you have ever watched an AI project stall, you probably already know your answer.

Twelve questions, about two minutes.

If you lead a team, a department, or a company, we'd like your answers in the findings. If you know someone who has sat through a stalled AI rollout, send them this page too.

Take the survey

Your responses are anonymous and will be aggregated for research. Individual answers will never be attributed to anyone without separate written permission.