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.
Why the semantic layer I spent years dismissing turns out to be the thing missing everywhere else.
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 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.
Your AI pilot is probably going to stall or fail. Not because the technology doesn’t work. Not because your team isn’t capable. But because you chose 50 SME power users as your pilot group. Here’s what actually happens: The fix is counterintuitive: Pilot with your typical mainstream users. The ones asking the same 20 questions…
Why the invisible infrastructure nobody wants to build is still the foundation of success.
Organisations are excited about AI knowledge delivery. And terrified to actually use it. The paradox isn’t a technology problem; it’s a change management problem.