deKnowledge preservation means systematically capturing experience knowledge before it leaves the company: through retirement, resignation, role changes, or reorganization.
The pressure is demographic: almost 30% of Germany’s workforce reaches retirement age by 2036 (Destatis). At the same time, 72% of companies depend on at least one person whose departure would noticeably impair operations (SHRM 2023). Whoever captures a key person’s knowledge only at the farewell stage is usually too late: classic exit interviews capture sentiment, not substance.
Modern, automated knowledge preservation works with method-based AI interviews. The AI questions experts in a structured way, from an exploratory overview to in-depth interviews, deliberately capturing what documents don’t contain: decision logic, exceptions, and warning signs. The result is reviewed, approved, and made available to the team as knowledge articles, training, or AI context.