Use Case

AI in Knowledge Management

More and more companies are using AI for knowledge management – from meeting summaries to internal knowledge bases to semantic search. We show you what's possible, what makes sense for your organization – and how to evaluate it yourself.

The Problem

Why companies keep losing what they know

Knowledge silos

Critical information lives in individual inboxes, personal notes, and people's memories. When someone goes on vacation or leaves the company, their knowledge goes with them.

Meeting decisions forgotten

Hours of meetings, but the decisions and action items get buried in vague notes or lost entirely. Two weeks later, no one remembers what was agreed upon.

20% of time spent searching

Studies suggest employees waste around 20% of their time looking for information that already exists somewhere in the company. That's one full day per week lost to searching.

AI Approaches

Three areas you should know about

Other companies are already using these approaches. Not everything fits everyone – but it's worth understanding what's possible and where the biggest lever is.

Approach 1

Automatic meeting summaries

AI listens to (or reads transcripts of) your meetings and generates structured summaries with key decisions, action items, and owners. Your team reviews and adjusts – no more note-taking during the call.

  • Extracts decisions, action items, and owners automatically
  • Makes meetings searchable weeks and months later
  • Team reviews and corrects – AI drafts, humans finalize
  • Works with Zoom, Teams, Google Meet recordings

Meeting Summary

Feb 14, 2026 · 45 min

Product Roadmap Review

Participants: Sarah, Tom, Lisa, Marc

Key Decisions

Launch beta by March 15 with core features only
Postpone analytics dashboard to Q2

Action Items

Tom: Draft beta launch plan by Friday
Lisa: Update feature priorities in backlog

Auto-generated from meeting recording

Ask your knowledge base
"What's our refund policy for enterprise clients?"

Answer

"Enterprise clients on annual plans are eligible for pro-rated refunds within 30 days. For monthly plans, refunds apply to the current billing period only."

Source: Enterprise SLA v3.2 Updated: Jan 2026
Answer sourced from internal docs · Always shows references
Approach 2

Intelligent knowledge base

Instead of searching through folders and wikis, your team asks questions in natural language and gets answers sourced from your actual documents. Always with references, so you can verify and go deeper.

  • Understands questions, not just keywords
  • Always cites sources so answers can be verified
  • Connects to existing docs, wikis, and shared drives
Approach 3

Smart enterprise search

AI-powered search that works across all your tools – email, Slack, Google Drive, Confluence, Notion, whatever you use. Instead of searching five places, your team searches once and gets the right result.

  • Searches across email, chat, docs, and wikis in one go
  • Understands context and meaning, not just exact matches
  • Respects existing permissions – people only see what they should
  • A starting point we help you set up and your team evolves
"vendor contract renewal process"

Vendor Management SOP

Google Drive · Updated Dec 2025

Slack: #procurement discussion

Marc explained the renewal timeline

Email from legal re: renewal terms

Jan 2026 · Contains updated clauses

Results from 3 sources · Found in 2 seconds

Industry benchmarks

What other companies are reporting

No guarantees – but benchmark values from the industry that show what's realistically possible with AI in this area today.

2–4h

Saved per employee per week

Seconds

For meeting notes instead of hours

~90%

Fewer "where is this?" questions

2–3 wks

From start to first results

Our Approach

How we help you get started

We don't deliver a black box. By the end, you'll understand which AI approaches make sense for you, how they work – and you can decide for yourself what comes next.

1

Gain clarity

You'll understand where AI can make the biggest difference in your knowledge management – and where it can't. After that, you can evaluate AI opportunities on your own.

2

Try instead of speculate

You'll experience what AI can do today through a concrete prototype. No slide deck, but something tangible – and you'll see immediately if it's right for your team.

3

Continue independently

After that, you can make informed decisions: Is implementation worth it? Which tool fits? What do we need internally? You're no longer dependent on external opinions.

Is this for you?

AI for knowledge management makes sense if...

Your team wastes time searching for information that exists
Meeting decisions get lost or forgotten regularly
Knowledge lives in a few people's heads
New employees take weeks to find their way around
Information is scattered across too many tools
You want to start small and see if AI can help

Let's talk about your knowledge management

In a free introductory call, we'll look at how your team shares and finds information today, and explore where AI could make the biggest difference. No commitment, 30 minutes.