A Technical MVP Isn't a Product. It's a Bet That One Exists.
What happens when AI lets you build faster than you can decide what you're building.
Your KMS has a taxonomy. Your enterprise does not.
Why the semantic layer I spent years dismissing turns out to be the thing missing everywhere else.
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How One Blue Became Four Blues (and What That Costs You)
Why keeping your product consistent matters more now that decisions happen faster with AI.
You don't have a knowledge base. You have a filing cabinet.
You pointed your AI at SharePoint and now it's confidently wrong. Why? Because you don't have a knowledge base. You have a filing cabinet. And until you understand the difference between a document repository and a KMS, your AI project is retrieving the wrong things, faster, at scale, with confidence.
The knowledge base is auditable. The AI isn't.
Data Permissions vs Knowledge Governance
The risk isn't that enterprise AI search tools don't work. It's that they work exactly as designed, for knowledge workers, not contact centres. When you use discovery infrastructure to do governance work, the permissions get respected. The governance does not.
The Tool Won't Change You. The Moment Will
Why AI adoption has nothing to do with access, and everything to do with the one experience that changes everything.