From knowledge management to knowledge enablement
For most of the last two decades, organisations have approached knowledge as something to be managed. The approach was reasonable. Documents needed to live somewhere. Procedures needed to be written down, whether for internal use or for audit. So we did the obvious thing, we built repositories such as wikis, shared drives, document libraries, and intranets, and put someone in charge of keeping them tidy. Sounds familiar?
The trouble was that these systems treated knowledge as a thing to be stored, with someone (most likely someone junior) tasked to maintain it. A repository cannot get the right knowledge to the right person at the moment they need it. A document that nobody finds is functionally the same as a document that does not exist. You don’t know what you don’t know.
The shift now underway reframes the goal. Instead of managing knowledge as inventory, the work is to enable it to flow; between people, between teams and increasingly between humans and AI systems. The emphasis moves from the document to the use of the document. From the librarian to the conversation and to the compounding of knowledge over time.
This is a cultural change before it is a technology change. Moving from compliance-driven sharing to culture-driven collaboration requires leadership to model the shift. Employees have to see that the change is genuinely supported from the top, not forced down their throats the way SharePoint was two decades ago.
AI is the catalyst, but not the substance, of this shift. It is what makes the shift practical at scale. A finance team can now ask a question of its own historical records in plain language and get a useful answer. Meeting transcripts can be summarised into searchable notes without anyone typing. Outdated procedures can be flagged automatically. None of this was easy before; much of it is routine now.
What does not change is the human contribution. AI surfaces information; people interpret it. AI drafts the answer; people decide whether the answer fits the situation. The technology has moved on. The judgment that turns information into a good decision still sits with the person doing the work.
— YS Lim