NotionLaura GreggExplainer
How European companies build AI-ready knowledge foundations
Summary
European organisations face a knowledge paradox: 97% of surveyed business leaders say knowledge management is critical, but only 28% report having a coherent strategy, with poor practices costing up to €16,000 per employee annually. Interviews with leaders in France, Germany and the UK connect scattered information across people and tools to slower progress, weaker decision confidence, repetitive work and lost institutional knowledge. The post argues that centralised knowledge is a prerequisite for effective AI, noting that 56% of organisations already use AI for knowledge management and 29% are piloting it, while incomplete documentation can undermine deployments. Recommended practices include explaining the personal benefit of documentation, designing systems that pull participation rather than enforce compliance, and treating knowledge as a shared organisational asset. Examples include Nelly, Above, UnternehmerTUM and EGYM using simpler documentation workflows and shared spaces to reduce silos and keep information current.
Context
European companies recognise the importance of knowledge management but often lack a coherent strategy. Information scattered across people and tools slows execution, reduces confidence in decisions, increases repetitive work, and can leave AI systems without the documentation they need.
Approach / What changed
The post describes centralising knowledge and building a documentation culture through clear personal incentives, systems that pull information instead of enforcing excessive input, and a shift toward treating knowledge as a shared organisational asset. Examples include shared Notion spaces, simpler documentation requirements, and actively moving knowledge out of silos.
Takeaways
Poor knowledge management can cost European companies up to €16,000 per employee annually; for a 500-person company, the post estimates €8 million in yearly losses.
In 2025, 56% of surveyed organisations were already using AI for knowledge management and another 29% were piloting it, but incomplete documentation can undermine these efforts.
Nelly, Above, UnternehmerTUM and EGYM illustrate approaches based on simpler documentation, pulling information from maintained sources, and moving collectively useful knowledge into shared spaces.
Source and freshness
- Source
- notion.com
- Published
- Added to Yomu
Summaries are generated from the original by a language model. Check the original before relying on it.
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