How it works | TrustHouse ContextTalk

01

Ask in plain language

No query syntax, no dashboard to build first, no waiting on an analyst. You ask the question the way you would ask a colleague, including the cross-system questions nobody built a report for.

ASK

“Which downstream assembly lines will stock out first, and which tier-one customer orders are financially exposed?”

02

It understands what you are asking

This is where a context engine differs from a chatbot. ContextTalk holds a semantic context layer for your industry, the processes, terms, and relationships your business actually runs on. It knows what a golden batch is, what OTIF means to your customers, and which systems hold the answer. It retrieves only what the question needs.

03

The answer carries its lineage

The answer arrives with the data behind it, where that data came from, the policies applied while retrieving it, and how the conclusion was reached. You can act now and explain it later.

Why this reduces hallucination

A general model fills gaps with whatever is most plausible. Grounding every answer in your governed business context, and attaching the trail that produced it, removes the gap it would otherwise fill. When the data cannot support an answer, that shows too.

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