Your best AI opportunity is in the files nobody mapped.
Enterprise AI is only as good as the information layer beneath it, and unstructured data is the biggest gap in that layer. This guide shows where your gaps sit and how to close them.
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70% of data leaders say less than half their files are usable for AI
Contracts, R&D notes, strategy documents, legacy shares nobody has opened in years. That's decades of institutional knowledge your competitors can't replicate: your most valuable material for AI, and the part that isn't ready to use.
Your AI's appetite for context has grown. Every step from pilot to production to agents widens what it needs to reach, and widens the gap between that and what's ready.
Using insights from our work with data and AI leaders at Fortune 500 companies and government agencies, this guide gives you:
- The framework. The three domains that determine whether your file estate supports AI at scale: architecture, access, activation.
- The patterns. The four ways the gap shows up, and what each one is costing you.
- The read. Where you stand today, and what closing the gap unlocks.
What closing the gap gets you
CoverageMore of your estate in play, not just the part already governed.
DifferentiationKnowledge no competitor holds, in a state your AI can use.
ReturnAI initiatives that clear the business case rather than stall at pilot.
“We have 20 years of experiments run. Why can we not use that to do things with AI? My answer is I don't know what data we have.”
- U.S. Department of War
- Veolia
- Wood
- Costain
- Macnica
- Atlan
- Collibra
- Thales
- Virtru
- Microsoft Purview
- Experian
- Carahsoft
- Vertosoft
Every AI initiative you fund draws on the same foundation
The guide shows you how much of yours is usable, and what closing the gap returns.