Arkency iconArkencySep 27, 2026 ~6 min source read

6 levels of knowledge management maturity in organizations

A practical map of how organizations move from scattered written notes to LLM-assisted, graph-structured knowledge—coverage from Level 0 through Level 4, with the original piece identifying six total levels.

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Useful takeaways from this story.

Most organizations start with written artifacts and confirm decisions in writing (Level 0).

Consolidating documents into a single silo and adding simple automations is low-cost and yields big retrieval gains (Level 1).

Semantic search (RAG) lets you find content without exact keywords but works best when answers live in single documents (Level 2).

The useful part

6 levels of knowledge management maturity in organizations | Arkency Blog 6 levels of knowledge management maturity in organizations "Zapomniałem" is Polish for "I forgot". On Arkency's Slack, our main communication channel, it has been used over 1200 times. That only confirms what I wrote in my previous post: organizations are surprisingly good at forgetting.

How it works

  • That post described how we maintain an organizational knowledge graph with an LLM and event sourcing.
  • Looking back at how we handle knowledge at Arkency, I identified 6 levels of maturity.
  • Arkency embraced remote work long before it was cool, and the async remote philosophy has always relied on written artifacts: status updates, meeting summaries, decision records.
  • Level 2: semantic search All of the above, and additionally, you can search your written sources semantically.
  • In practice, you no longer need to specific word to find the right piece of data.

What to take from it

Traditional wikis die because the cost of maintaining them grows faster than the value they bring, and at some point nobody updates them anymore. Sometimes only because you remember a specific word that was said. I presented them yesterday at Programistok in Białystok, and I am writing this post on the train back home.

Example or evidence

  • If you want to build chatbots or virtual assistants answering specific kinds of questions (customer support, onboarding based on product documentation, policies and regulations), you don't need to go further.
  • The answer has to sit in a single chunk, not be smeared across the whole dataset.
  • The term was popularized by Google in 2012, when they published Introducing the Knowledge Graph: things, not strings.
  • After all, we don't build a knowledge graph for the sake of having one, but for the automations it enables.

Details worth keeping

I truly believe I work with exceptionally organized and meticulous people. This one is about the road that led us there. You record transcripts of your conversations.

Related coverage

  • Apqc: How do I Develop an Effective Knowledge Management Strategy?
  • Projectmanagertemplate: Project management maturity provides organizations with a structured way to evaluate how consistently they plan, govern, execute, measure, and improve project delivery.
  • Projectmanagertemplate: Project management capability represents an organization's collective ability to convert strategic priorities into successful project outcomes.

More context around this story.

Arkency iconArkencyAug 31, 2026

We are all juniors again

Originally appeared on Hi, we're Arkency . We are all juniors again A long, long time ago, when Akinator was the peak of “advanced AI” on the internet, before services became micro, and deployments meant sending a file directly from a local computer via FTP to a server, I was introduced to the Dreyfus Skill Model. As a

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