AI is everywhere right now. You can't open a browser, sit through a meeting, or read a headline without running into a strong opinion about it. Depending on who you ask, AI is about to save the world or end it.

What is true is AI is here, it isn't going away, and leaders who wait for the noise to settle will make decisions late. The real question isn't whether your organization should use AI. It's where AI can be useful and where it is a waste of time, resources or worse – pushing your organization in the wrong direction because you’ve outsourced your decision making to it (more on that in the future).

The one place that AI has inarguably improved work across most organizations is in knowledge management.

AI as a support layer

We’ve previously discussed that knowledge management should be more about documenting the human-side of the business, not just about processes and procedures. This one picks up where that left off.

AI does not fix a weak knowledge system. It does not decide what knowledge matters, whether it's accurate, or how it should be governed. Those are still your calls to make. What AI can do is help your organization work with knowledge more effectively once you're making those calls well. It makes existing knowledge easier to find. It captures knowledge that would otherwise evaporate. It surfaces patterns no one could see by hand across thousands of conversations, documents, and systems.

AI is good at volume, fragmentation, repetition, and recall of the knowledge you’ve already built. It searches across scattered information, summarizes what matters, and lifts the burden of digging through systems by hand. Microsoft 365 Copilot and Google Workspace with Gemini already build these capabilities into the tools your teams use every day.

So where does that actually help?

1. Capturing knowledge before it evaporates

A surprising amount of organizational knowledge is born in face-to-face conversation and never makes it out alive. Decisions get made, next steps get assigned, then by Friday, half of it is gone or misremembered.

This is where AI earns its place. In Microsoft Teams, Copilot and recap features summarize meetings, pull out action items, and let people retrieve key points after the call ends. In Google Meet, Gemini takes notes, organizes them in a Doc, and offers recap support. For organizations on neither platform, a crowded field of third-party tools fills the same gap and then some.

This isn't permission to stop listening or thinking. It's an acknowledgment that teams are bad at preserving the insight they generate in their own conversations. Used well, AI turns fleeting meeting talk into knowledge someone can actually find again.

2. Connecting information across scattered tools

The barrier to continuity is fragmented information. The context you need lives across email, chat, shared drives, transcripts, slide decks, and spreadsheets, and no one can hold the full picture at once.

AI is useful here. Gemini summarizes Drive files and Gmail content from inside Docs and Sheets, and Google's side panel puts it directly into the tools people already have open. Microsoft does the same through Copilot, extracting notes and action items from meeting data and supporting follow-up.

The payoff is speed. Instead of asking people to remember where everything lives, AI surfaces the relevant fragments so they can step back into a project, a decision, or an unresolved issue without losing an hour to the search.

3. Spotting patterns people miss

Some knowledge problems are about pattern recognition. You need to see how collaboration actually happens on your teams, where the bottlenecks sit, and which groups have drifted apart in ways that create risk.

This is the work of network and collaboration analysis. Microsoft Viva Insights includes organizational and cross-collaboration analysis that shows how groups interact and where those patterns are shifting, down to person-to-person and group-to-group views.

That matters because knowledge travels through relationships, not just files. Focus only on static documentation and you'll miss the people who function as translators, connectors, and hidden bridges holding the place together. When one of them leaves, you find out how much they carried. AI-assisted network analysis can make those patterns visible while you still have time to act on them.

4. An assistant, not a replacement

AI can also help inside the work itself, keeping teams organized, prompting sharper questions, and pulling up context on demand.

Microsoft describes Copilot in Teams meetings as able to answer questions in real time and suggest action items, with recap tools that help people catch up on mentions and follow-ups. Google leans on its "summary so far," note capture, and recap support inside Meet.

Used wisely, that means AI can hold the thread in the moment: surfacing a prior decision, flagging an action no one closed, summarizing what's been said so the conversation stops circling. It helps clear away the administrative drag that keeps people from doing their best thinking together.

The opportunities are real. So are the risks.

None of this should paper over the concerns your people and your community have about AI. Privacy. Access. Governance. Resource use. And the plain fact that AI can be wrong, shallow, or incomplete while sounding completely sure of itself. When leaders wave those concerns away, they invite two failures at once: a sloppy rollout, and the erosion of the trust that any thoughtful adoption depends on.

Also, it's important to acknowledge that regardless of your intentions, your people have anxiety about being replaced. It’s important that you emphasize how AI absorbs the tedious retrieval, the repetitive synthesis, the follow-through that slips through the cracks, so your people can spend their attention on judgment, interpretation, relationships, decisions, and stewardship of the tools themselves. 

Done right, AI makes your people more productive, but also even less replaceable if it helps them better unleash their human superpowers like creativity, empathy and cultural insight.