Context Engine Setup

Without company knowledge, nuwacom is just an expensive chat.

Connect data sources, structure knowledge, inherit rights cleanly.

The context engine is the value lever. We connect data sources, structure the knowledge and carry rights inheritance through cleanly - so AI answers from your context.

AI answers from real company knowledge instead of generic filler.
Rights inheritance tested per source - no data leak through the back door.
Knowledge hygiene so the context still holds a year from now.
Futuristische grüne Gebäude neben einem leuchtenden Datenstrom, der zu einem digitalen Gehirn und vernetzten Mustern führt.
The problem

An empty AI system answers every question. Just not yours.

Models become interchangeable. The edge comes from your knowledge - and that sits scattered across folders, wikis and inboxes. Connect it sloppily and you get generic answers at an enterprise price. Worse: if the engine inherits rights wrongly, the intern suddenly sees the payroll. An empty or badly permissioned context engine turns the tool into expensive junk.

Our approach

We make your knowledge usable for AI - cleanly and safely. We connect the right data sources, structure the knowledge so the AI finds it, and carry the permissions from the source systems through correctly. Every user sees only what they are allowed to. On top we introduce knowledge hygiene so the context does not rot over time.

How it works
  • 1 - Review sources. We prioritise which knowledge gets connected first and what quality it has.
  • 2 - Connect & structure. Data sources in, knowledge ordered so the AI can use it sensibly.
  • 3 - Test rights inheritance. Source by source we check who may see what.
  • 4 - Set hygiene rules. We define how the context stays clean, and hand over.
What you get
  • Configured context engine. Productive, not a shell.
  • Documented data source structure. You know which knowledge comes from where.
  • Tested rights inheritance. Checked per source - no nasty surprises.
  • Knowledge hygiene rules. So the context still holds a year from now.
Typical situations
  • "The AI answers generically even though we have the knowledge in-house."
  • "Our knowledge sits in ten systems and nobody can find it."
  • "We worry the AI shows people data they shouldn't see."
  • "We want to use nuwacom productively, not just for chatting."
Why AIghty20

We treat the context engine as what it is: the value lever, not a setup checkbox. We carry rights inheritance through with the same care as the connection - because a data leak costs more than any project. And we know from experience where data quality tips over before it does.

What it does for you

The AI answers from real company knowledge, not from platitudes. Your people trust the answers because they are right. And you sleep well because everyone sees only what they are allowed to. From here every licence pays off - before this, it's decoration.

Fits with

The setup builds on the Governance & Compliance Blueprint and goes hand in hand with the Connector Integration. Once the context is in place, the Agent Sprint follows.

Links

You can find more information here

Interested?

Book a call with

Thomas
Hutter
Managing Partner
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