Generic AI knows the internet. It does not know that “Series 4” means a product line to your sales team and a spare-part group to your service team. The Context Engine is the layer that closes that gap: your terminology, your rules, your data and your permissions, so every answer comes back grounded in your business.
Whether your team can really work with an AI is not decided by the model. It is decided by whether it knows your business.
“What does the Series 4 cost for Kramer?”
Series 4 pricing typically depends on configuration and volume. For an accurate quote, please check with your sales department or the current price list.
“What does the Series 4 cost for Kramer?”
€28,400 net for the M4-DN50 with the ATEX option, price list 07/2026, less the 6 % volume discount in Kramer's framework agreement. Lead time 9 weeks.
A search index finds documents. The Context Engine builds structured layers on top of them, and every answer passes through all of them before it reaches you.
Product names, internal abbreviations, article numbers, unit conventions, and the different names your customers use for the same part. The engine links them, so a question phrased any way finds the same answer.
Which options may be combined, which discount needs which approval, which revision supersedes which, which standard applies in which market. The knowledge that normally lives in senior colleagues' heads and in footnotes.
This customer, that framework agreement, those machines in the field, this spare part, that service history. The engine keeps the links between documents, products, customers and systems, so one question can travel across all of them.
Every fact keeps the access rules of the system it came from. Two colleagues asking the identical question get answers drawn only from what each of them is allowed to see, enforced by the engine, not by a prompt.
Not a one-off import. Five steps that keep running, so the context gets better instead of going stale.
Connections to SharePoint, Confluence, Drive and to your ERP, CRM and PIM, with your data staying in the EU. The same connections can write back later; building the context only reads.
Documents, tables, drawings and scans are split into meaningful units: a clause, a line item, a specification, a revision, rather than arbitrary blocks of text.
Duplicates are merged, versions put in order, synonyms linked. Where two sources disagree, both are recorded together with which one carries authority.
Your terminology, rules and dependencies go on top, reviewed by your own experts. This is the step where a generic index becomes your context.
Sources are re-read continuously. When a document is superseded, everything derived from it is flagged instead of quietly staying in circulation.
“Series 4” means something different in every department. The Context Engine resolves it from who is asking and what they are working on, which is exactly what a generic assistant cannot do.
A sales engineer asks: “Can we offer the Series 4 to Kramer?”
The current revision C with its option matrix, the price list for this customer's region, and the two options Kramer's framework agreement already covers. Discontinued variants are left out because they cannot be ordered any more.
Sources PIMOption matrix Rev. CPrice list 07/2026CRMA service technician asks: “Which seal does the Series 4 take?”
Parts and maintenance intervals for the machines actually in the field, including the two superseded revisions still running at customer sites, which is precisely where the sales answer would have been wrong.
Sources Parts catalogueService manual Rev. A–CMachine registerTicketsA controller asks: “How is the Series 4 performing this year?”
The cost centre the line is booked against, with the margin bands approved for this year and the service revenue that belongs to it. Figures come from the ERP, so they match the month-end close.
Sources ERP cost centresMargin policy 2026Service billingEach sentence links to the document, row or record behind it, with its version. One click opens the original.
Values are read from your sources, never invented. Where the context is missing, Genow reports back what is missing instead of filling the gap.
Questions your knowledge cannot answer are logged. That list turns out to be the shortest route to better documentation.
When a newer revision arrives, the older facts retire with it. Nobody quotes last year's price list by accident.
The Context Engine sits underneath everything in the workspace. Teach it something once and every agent gets better at the same time; there is no second knowledge base to maintain.
See in 30 minutes how Genow helps your team find the right products, prepare deals, and create tailored sales materials.
