Most AI projects fail. Not because of budget. But because of bad data.
Gartner reports 85% of AI projects flop. Not due to lack of funding or ambition, but because the data is a mess. Fragmented. Siloed. Inconsistent.
Your systems don’t talk. Your documents are scattered across inboxes. And no one agrees what a “customer” actually is. Is it a "client", "user", "lead"?
Sound familiar?
If your AI outputs are breaking down, or worse, haven’t even got off the ground, your business might not have an AI problem. You might have a data hygiene problem.
Download our free guide to fix it.
