// Knowledge Transfer · AI Agent
Your experts are retiring.
Their knowledge can stay with you.
By 2036, 12.9 million workers in Germany alone will reach retirement age, and the baby boomer generation takes 30 years of experience with it. Our knowledge transfer agent interviews your experts before they leave and turns their know-how into an AI knowledge base the whole team can query.
workers in Germany reach statutory retirement age by 2036 (Destatis)
of today's workforce belongs to the baby boomer generation
weeks to a productive setup for the first experts, depending on scope
is how long the knowledge stays after the last working day if there is no handover beforehand
// The Problem
Knowledge transfer:
what leaves with the expert.
Demographic change is already under way: the baby boomers are leaving the workforce, and the talent shortage means successors arrive later and need to be productive faster. A vacant position can eventually be filled. The bigger risk is the experience that leaves with the person.
Process manuals cover the standard case. What's missing is the tacit knowledge: Why was the plant rebuilt that way in 2019? Which supplier do you call when things go wrong? What three mistakes does every new hire make in year one? None of that is in any wiki, and classic knowledge management fails at exactly this: getting it out in time.
Classic knowledge transfer methods like mentoring or tandems work, but need months of lead time and tie up two people. Once retirement is in sight, both are usually missing: time and capacity. That's exactly where the AI agent comes in.
What gets lost
// How it works
The knowledge transfer agent
in five steps.
1 · AI interviews with your experts
The agent runs structured interviews by voice or chat, in short sessions alongside day-to-day work. It asks follow-up questions and draws out the knowledge that no manual contains.
2 · Adding existing documentation
Manuals, process documentation, wikis and project archives flow into the knowledge base and are linked with the interviews.
3 · Structuring into a knowledge base
Transcripts and documents are processed, structured by topic and referenced with sources, turning raw material into a curated AI knowledge base.
4 · RAG chatbot for the team
The team asks in natural language and gets answers with source references drawn from your own company knowledge. Answers arrive in seconds, even when the responsible colleague is unavailable.
5 · Onboarding mode for successors
New employees get a guided path through their predecessor's knowledge, which shortens onboarding.
What the agent does differently
// Services
AI knowledge management,
built for you.
Expert interviews via AI agent
Structured knowledge interviews with departing employees by voice or chat, with interview guides per role (maintenance, sales, administration, IT). The agent transcribes, summarises and flags gaps for the next session.
AI knowledge base (RAG)
An internal knowledge base with a RAG chatbot: the team asks questions in natural language, answers come with references from your sources. It connects to SharePoint, Confluence or network drives, or runs fully standalone.
Onboarding automation
The knowledge base becomes an onboarding assistant: guided learning paths for successors, FAQs from real cases, checklists per role. Onboarding no longer depends on a single person.
Documentation generation
From interviews and existing data, the system generates process documentation, work instructions and handover documents. Everything is versioned and maintainable, and a person reviews and approves each document before release.
GDPR & works council: interviews only take place with consent, we collect as little data as possible and access is role-based. On request the entire system runs on-premise on your infrastructure. For more, see AI Implementation and AI Agents.
// Methods
Knowledge transfer methods:
classic vs. AI-powered.
Mentoring & tandems
Proven but demanding: it often needs 6 to 12 months of overlap and only works if the successor is already on board. With short-notice retirements that is rarely feasible. The AI agent complements this method and captures the knowledge that would otherwise be lost without overlap.
Expert debriefing & knowledge maps
Structured handover sessions with a facilitator deliver good results, but typically end in documents that are hard to find a year later. The AI approach produces a system that answers questions.
AI-powered knowledge transfer
Short interviews alongside day-to-day work, automatic documentation, a searchable knowledge base and an onboarding mode. It works for a single expert as well as for entire departments, and knowledge retention continues even when nobody is leaving.
// FAQ
Frequently asked questions
about knowledge transfer.
What is a knowledge transfer agent?
An AI agent that systematically captures the experience of departing employees: it runs structured interviews (voice or chat), ingests existing documents and wikis, structures everything into a knowledge base and serves it to the team as a searchable RAG chatbot, including an onboarding mode for successors.
What knowledge transfer methods exist, and why AI?
Classic methods are mentoring, tandems, expert debriefings and knowledge maps. They work, but they scale poorly: they need months of lead time and tie up two people, and the result is often a document few people read. An AI agent runs the interviews in short sessions, documents automatically and makes the knowledge available via chat.
What is an AI knowledge base with RAG?
RAG (Retrieval-Augmented Generation) connects a language model to your own knowledge base. The chatbot bases every answer on your sources, such as manuals, process documentation and interview transcripts, and cites them. Employees ask in natural language and get a referenced answer in seconds.
How long does AI-powered knowledge transfer take?
The interview phase per expert typically consists of several short sessions over a few weeks. The knowledge base is built in parallel. A complete setup is realistically productive in 4 to 8 weeks, depending on scope and existing documentation.
Is it GDPR-compliant? Can it run on-premise?
Yes. We use either EU-hosted models or run the system fully on-premise on your infrastructure, in which case no data leaves your company. Interviews only take place with consent, personal data is minimised and access is role-based. We involve works council and data protection officers from day one.
What happens to the knowledge after retirement?
It stays in the company and keeps working: as a searchable AI knowledge base for the team, as an onboarding assistant for successors and as the basis for generated process documentation. The knowledge base can be extended continuously, including with the knowledge of employees who stay.
// Related AI Services
// Next step
Capture the knowledge
while it's still here.
Free 30-minute intro call. We look at which knowledge will leave your company in the coming years and show you how the knowledge transfer agent captures it in time. Consulting and implementation come from one team.
Request a knowledge transfer call