AI Knowledge Management

    Knowledge management in your company: secure experiential knowledge before it leaves

    Knowledge management in a company means capturing your employees' knowledge and making it accessible so that others can build on it. datadice also captures the knowledge that is not written down anywhere: customer knowledge, proven approaches and the reasons behind decisions.

    An AI-assisted search makes it usable in daily work, with a source on every answer. At the IHK zu Coburg, one month passed between setting up an AI knowledge platform on Microsoft 365 and its acceptance.

    Goal:Secure knowledge within your company

    Last reviewed: · reviewed by Thomas Knorr, Managing Director datadice

    Securing experienceCapturing knowledge
    Experienced colleague from maintenance
    • Press 3: raise the pressure when it is cold
    • Crack in the workpiece: check the tool first
    • Spare part is also available from supplier B
    What do I do about a crack in the workpiece?
    Check the tool first, then the temperature.Source: maintenance interview

    Example with fictitious data

    At a glance

    What
    datadice structures and links your company knowledge; authorised employees access it with traceable sources.
    For whom
    Companies with experienced specialists whose knowledge about customers, machines and special cases 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

    Funding:Small companies in Bavaria receive a grant of up to 50% from the Digitalbonus for the introduction. We prepare the application with you free of charge.

    Go to the Digitalbonus

    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.

    Our answer

    We make preserving experiential knowledge plannable

    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.

    For your management

    Which task must not stall when a key person leaves?

    datadice asks this question in the first conversation because it determines where to start. The first knowledge area is the one whose loss would hurt your company most.

    That can be the maintenance of an old machine, the costing of custom builds or the care of a major customer whom the same person has known for years. Together with you, we name the two or three specialists who hold this knowledge. We plan the interviews while they are still with you.

    Typical triggers are a succession, an announced retirement or a resignation. Your management gets an answer to how dependent the company is on individual people today, plus an order in which to change that.

    Knowledge transfer

    How is experiential knowledge captured?

    In structured interviews. datadice asks your experts about concrete cases and asks for the reason behind every approach.

    No manual answers “Why was this solution chosen?”. From the answers we write entries with the approach, the rationale and a contact person. Your experts review every entry before it is released.

    We then connect them with maintenance logs, manuals and data from your business systems. Anyone who later asks how the fault on machine 3 was fixed gets the answer with its source and the name of the person who knows.

    For your department

    How does your team recognise a good answer?

    A good answer cites its source, respects permissions and passes review by your experts. That is why datadice tests answer quality together with your team against real questions from daily work.

    Before the rollout, we collect questions with the department that cause follow-up questions and rework today, for example from service, onboarding new colleagues or preparing quotes. These questions become acceptance cases.

    Once the answers hold up for both the normal and the difficult cases, the system goes into daily use. We define beforehand who maintains the content. The datadice Academy trains your team to assess answers and maintain content.

    Architecture

    How datadice builds your knowledge system

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

    Step 1 of 4

    01

    Knowledge areas

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

    Example: service knowledge about a machineStep 1 of 4

    Knowledge areas

    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

    Scope

    Knowledge management or WissensAgent SPIRA?

    The WissensAgent SPIRA is the datadice product that connects mail, file storage, ERP and business systems into a company AI. Knowledge management is the work before and alongside it: capturing, classifying and maintaining experiential knowledge.

    You can start with the WissensAgent SPIRA and add knowledge management as soon as it comes to areas where the most important knowledge is not written down.

    View the WissensAgent SPIRA

    Comparison

    Standard software, custom development or datadice?

    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.“
    A document search finds knowledge that has already been written down. datadice additionally captures your experts' experiential knowledge and connects it with the existing sources.
    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.

    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 not be lost in a generational change?

    In the free initial consultation we clarify which knowledge is particularly valuable to your company and where it sits today. Afterwards you receive a short playbook.

    Starting point:Strategy workshop