Knowledge management for software and IT teams
A right-sized knowledge management framework so your team stops losing time searching, and stops losing know-how when experts leave.
I am Fryderyk Pryjma, founder of CortexMine, private AI for regulated organizations. I take on a small number of selective advisory engagements like this one.
Knowledge management is the ongoing system that keeps know-how findable. Knowledge transfer is the focused move of specific know-how across a handover, onboarding, or vendor change. See Knowledge Transfer for IT teams.
Well governed knowledge is also the foundation for trustworthy on-prem AI, which is why I care about capture, ownership, and audit trails.
A knowledge management framework only pays off when it fits how your team already works. I favour capture-before-retrieval, small taxonomies, clear ownership and rituals people will actually keep running when the pressure is on.
Related reading: Knowledge management pillar.
Outcomes
- A practical KM framework mapped to your team, not a textbook.
- Capture before retrieval, so search actually has something to find.
- Less documentation debt and fewer orphan wikis.
- Knowledge that survives an aging or changing workforce.
What you get
KM framework mapped to your team
A right-sized model: what you capture, where it lives, who owns it, how it flows into decisions.
Taxonomy and ownership model
A short, opinionated taxonomy plus named owners, so knowledge does not orbit forever without a home.
Capture rituals that stick
Lightweight rituals your team can actually keep running under delivery pressure.
Retrieval and search improvements
Practical fixes to how content is titled, tagged and linked, so people find answers instead of asking humans.
Who it is for
- IT service organisations with critical knowledge stuck in a few heads.
- Product teams with heavy documentation debt and low trust in the wiki.
- Regulated or safety-critical teams that need auditable knowledge trails.
Engagements start with a framework review and a 4 to 6 week rollout of capture, taxonomy and ownership.
View pricingFrequently asked questions
A knowledge management framework is a working model for how a team captures, organises, trusts and retrieves what it knows. In practice this means naming what you capture, where it lives, who owns it, and how it flows into product and delivery decisions.
Capture. Most KM programs jump to search and taxonomy while the underlying content is thin, biased or stale. If there is nothing worth finding, better search only surfaces better noise. I invest in capture rituals first, then improve retrieval on top of content people actually trust.
Yes. Most engineering and product teams do not hate documentation, they hate documentation theatre: long docs no one reads, wikis with no owner, screenshots that go stale. A right-sized framework asks for less, in more useful shapes, with a clear owner. That is usually enough to change behaviour.
Ready to get started?
30 minutes, no strings. You will leave with two to three concrete improvements.
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