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Internal knowledge base

An internal knowledge base your team will actually use.

Most internal wikis are dead within a year. Nobody updates them and nobody can find anything. I build internal knowledge bases your team asks questions of, in the tools they already use, and that get better every time someone asks.

The problem

Why internal wikis die.

01

The wiki graveyard

Somebody spent a month setting it up. Six months later half the pages are wrong and nobody trusts any of them.

02

Search finds files, not answers

You search "pricing for a two-story retrofit" and get forty documents. The answer is somewhere in one of them, maybe.

03

The real knowledge isn't written down

It's in your senior people's heads. Documentation projects don't capture it, because nobody asks the right questions.

What I build

How I build it so it lasts.

Extraction from people

Structured interviews with the people who know. The knowledge that never made it into a document is usually the most valuable.

Your existing docs, restructured

SOPs, proposals, specs and recordings broken into specific, reviewable skills instead of one giant document pile.

Asked where people work

Slack, Microsoft Teams, Claude, ChatGPT, Copilot, or a text from the field. No new app to learn.

Private by design

Your knowledge base is yours. Source files aren't used to train AI models.

Gap tracking

Every question without a good answer gets logged. That list is exactly what to capture next.

Owner review

Each area has an owner who approves what's in it, so answers stay right as the business changes.

How it works

Map. Build. Run.

Map

Find where AI pays

One call, then a short audit. I look at where time and money leak: the manual work, the dropped handoffs, the pipeline gaps. You get a ranked list of what to build first and what to leave alone.

Build

Inside the tools you already run

I build into your CRM, your inbox, Slack, your EMR or ERP. Most first systems go live in weeks, not quarters, and you see it working before we talk about the next one.

Run

Owned, watched, improved

Systems break when nobody owns them. I monitor, fix and improve what I build, and add the next system once the first one is paying for itself.

Questions

What people ask before we start.

Should I buy internal knowledge base software instead?

Software is a container. The hard part is what goes in it: getting knowledge out of people's heads and structured so answers come back right. I build on Skill Refinery, my own platform, so you get the software and the work that makes it useful.

Will it replace Confluence, Notion or SharePoint?

It doesn't have to. It can sit on top of what you already have and pull from it. Many teams keep their docs where they are and just stop searching them by hand.

Who keeps it current?

Area owners approve changes, and gap tracking shows what's missing. I handle the upkeep for as long as you want me to.

Is our information secure?

Your knowledge base is private to your company, and source files aren't used to train AI models.

How long does it take?

A first knowledge base for one team or one role is usually live in weeks, and it grows from there.

Next step

Which team loses the most time looking for answers?

Start there. Thirty minutes and you'll know what a first knowledge base would cover.