CUSEA Knowledge & Capture
Without reliable knowledge, AI is just convincing guessing.
The problem is rarely that knowledge is missing. It is not findable at the decisive moment, not current, or not available in the right context. CUSEA turns distributed information into a controlled knowledge base — for people and for AI-driven processes.
Knowledge capture
Documenting, without documenting.
The biggest knowledge problem is rarely search — it's missing documentation. CUSEA captures knowledge where it comes into being: in a screen recording, in a conversation, in files and sources. What comes out is a clearly marked article, not raw material.
Three levels
Capture. Curate. Activate.
01Capture
Record knowledge while the work happens — screen recording, voice recording, video, file upload, SharePoint, Confluence or URL. No documentation session afterwards.
02Curate
CUSEA transcribes, structures and condenses into articles with steps, notes and tags — marked as AI-generated, review stays with people.
03Activate
Approved knowledge appears where the work happens: in the case, the conversation, the walkthrough — source-grounded, permission-aware, current everywhere.
Provenance, not assertion
Don't store knowledge. Put it to work — under control.
Every answer is wired to the sources that carry it — and to the checks that sit in front of them.
The administration behind it
What the knowledge base looks like in the product.
Capabilities
Knowledge that can work.
Source-grounded answers
Answers come from approved content — with visible origin, not from model memory.
Permissions built in
Access follows the user and application context, knowledge areas stay scopeable.
At the moment of work
Knowledge appears in the case, the conversation and the walkthrough — exactly when it is needed.
For people and AI
One knowledge base for service teams, users and all AI processes on the platform.
Current, not stale
Maintained sources replace scattered copies — changes take effect everywhere the knowledge is used.
Controlled, not flooded
Only the context required for the current step is passed to the model.
Let’s look at your knowledge landscape.
Bring a real body of knowledge — we show how it works source-grounded inside service processes.
30 minutes, online. Designed around your content, not demo data.