Controllable knowledge work with k2a
k2a is our own development for accessing distributed knowledge bases. In closed trial, we are examining how machine suggestions stay verifiable and how different storage locations become reachable through one shared interface.


Practical setup 01In-house development · closed trial
Releasing machine suggestions only after review
Machine-detected connections can be useful, but they must not become part of the reliable knowledge base without review. Suggestion, review, and confirmed knowledge need to stay clearly separated.
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Classification In-house development · controlled suggestions in k2a One stop for review by humans: Review
Scope and limitations
Not part of this demo: This shows the control path, not the quality, volume, or source of the machine suggestions.
The control mechanism shown is built and is being tested in k2a against our own holdings.
Practical setup 02In-house development · integrations still expanding
Reaching different storage locations with the same actions
Documents live locally, on company machines, or with storage services. Different access methods and operating models make a shared workflow difficult.
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Classification In-house development · shared access, integrations still expanding One stop by a human: Selection
Scope and limitations
Not part of this demo: Not every planned storage type is connected yet. Deleting, restoring, and permissions differ by target system.
The shared access layer is tested. The scope and depth of the connections are being expanded step by step.
Where does knowledge need to stay verifiable in your organization?
We look at one specific knowledge base together and determine which findings can apply automatically and which need confirmation by a human first.
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