AI Knowledge Management

    Knowledge management in your company

    Goal:Secure knowledge within your company

    We secure your employees' experiential knowledge and make it usable in the context of their work, so it is retained through staff changes and across generations.

    At a glance

    What
    Company knowledge is structured, linked and made accessible to authorised employees with traceable sources.
    For whom
    Companies whose experienced employees hold knowledge about customers, proven solutions and the reasons behind important decisions that is not written down anywhere.
    Outcome
    A knowledge system that connects systematically captured experiential knowledge with your documents and business systems, with cited sources and an agreed access-rights concept.
    Getting started
    Initial consultation, then a Strategy workshop

    Experiential knowledge becomes a task you can plan.

    The KOFA study 2026 recommends planning knowledge transfer early through tandems, mentoring and structured handovers. Customer knowledge, proven approaches and the reasons behind decisions remain accessible because we capture them in a structured way.

    What we stand for

    We are convinced that employees' experience holds customer knowledge, proven approaches and the reasons behind decisions. This knowledge needs to be secured systematically and made usable for others. That way, valuable knowledge is retained through staff changes and across generations and serves as a shared foundation for the company's further development.

    A typical starting point

    Your experienced employees hold a large part of your company's knowledge: knowledge about customers, proven solutions and the reasons behind important decisions. Much of it is not written down anywhere. When employees leave the company or a new generation takes on responsibility, this knowledge is at risk of being lost.

    Architecture

    How the knowledge system is built

    Your experts put the content into context, so the connections behind agreements and solutions are preserved.

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    Knowledge areas

    Together we identify the business-critical knowledge areas, such as special cases in service.

    Example: service knowledge about a machine

    Area
    Service, custom builds
    Knowledge holders
    two experienced specialists

    Outcome

    What you receive

    A knowledge system with agreed sources, an access-rights concept and expert quality review, so your employees can rely on it.

    • Knowledge system with systematically captured experiential knowledge
    • AI-assisted search and answer function
    • Agreed source connections
    • Source citations on every answer
    • Agreed access-rights concept
    • Expert quality reviews
    • Knowledge transfer with the datadice Academy
    • Operation and further development to the agreed extent

    Comparison

    Three approaches compared

    The table shows which knowledge sources each approach opens up.

    Starting point

    Standard software
    existing documents and file storage
    Custom development
    the project's specification
    datadice
    experiential knowledge and documents from business-critical areas

    Connection to existing systems

    Standard software
    via the product's connectors
    Custom development
    depending on the contract
    datadice
    agreed source connections to your documents and business systems

    Your own business rules

    Standard software
    within the configuration options
    Custom development
    freely implementable
    datadice
    expert classification by your specialists

    Quality assurance

    Standard software
    by the vendor
    Custom development
    as agreed in the project
    datadice
    source citations, access-rights concept and testing against questions from daily work

    Operation and further development

    Standard software
    with the vendor's releases
    Custom development
    by separate agreement
    datadice
    responsibilities for maintenance and updates

    Enabling your team

    Standard software
    product training
    Custom development
    as required
    datadice
    knowledge transfer and application with the datadice Academy

    Frequently asked questions

    An objection we often hear

    „We already have an AI search for our documents.“
    That is a good starting point. However, a document search only opens up knowledge that has already been written down. We additionally capture your employees' experiential knowledge and connect it with the existing sources. Expert reviews and clear responsibilities for maintenance support the quality. This way, the knowledge that has so far lived mainly in your experts' heads is also secured and made usable.
    What is AI knowledge management?

    AI knowledge management captures your employees' experiential knowledge, connects it with your documents and business systems and makes it usable in the context of their work. AI-assisted access answers questions with a cited source.

    How do we recognise good answers?

    By source citations, managed permissions and review by your experts. We test answer quality together against concrete questions from daily work.

    Who maintains the knowledge?

    Your responsible experts, with clear responsibilities. We define the responsibilities for maintenance and updates together.

    Where do we start?

    With the business-critical knowledge areas. In the initial consultation we clarify which knowledge is particularly valuable to your company and where it sits today.

    Getting started

    Which knowledge must your company not lose in a change of staff or generation, and who should be able to build on it in future?

    In the free initial consultation we discuss which knowledge is particularly valuable to your company and where it sits today. Afterwards you receive a short playbook, and the Strategy workshop then begins with the current-state analysis.

    Starting point:Strategy workshop