Use Case

AI in Knowledge Management

You know the answer exists somewhere in your company. In an email, in a Slack thread, in someone's head. Every time it has to be rediscovered, you feel the hours draining. Where do you even start? Let's think through it together.

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. It's worth understanding what's possible and where the biggest effect 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 finalise.
  • 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

Questions we'll answer together

What you'll find out

No promises on numbers. Instead: the questions worth getting clear on before you touch another wiki.

Where does knowledge really sit?

And where it leaks out of the company

Which questions repeat?

The ones worth answering once, properly

What's the safest first step?

Low risk, clear signal, short loop

Is it worth it for you?

Honest read after the first prototype

Our Approach

Your sparring partners for AI

Monthly companionship, one dedicated contact, cancel any time. Your people build their own read on AI for knowledge work step by step, and need us less over time.

1

One contact, every month

One person who knows your tools, your documents and your team. We think together about the next question worth tackling.

2

Try it out together

We build one small, concrete thing together. No slide decks. You'll see for yourself whether it belongs in your daily workflow.

3

You stay in charge

Cancel any time. The goal is that after a few months you can judge the next AI question on your own.

Is this for you?

AI for knowledge management makes sense if...

You see how much time search costs your team every week
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 think through your knowledge management together

In a free Sparring Call we look at how your team actually finds things today and where one small test could tell you the most. 30 minutes, no commitment.