Use cases
These are the scenarios we know after 20 years inside companies like these.
Complex processes, heavy documentation, little time. Knowledge lives in thousands of PDFs, contracts and reports — and finding it costs hours.
The situation: every historical query ("which clause did we use for this in 2019?") depends on who remembers, or on digging through folders.
The system: all your documentation indexed and searchable in natural language. Every answer links to the source document and page — verifiable before you use it in front of a client.
The situation: an email arrives with a query, someone finds the relevant documentation, drafts a reply, a senior reviews it, it's sent. Hours per query.
The system: the flow reads the email, locates the applicable documentation, drafts a report with sources and leaves it ready for human review. The person decides; the system prepares.
The situation: 60–70% of incoming queries are variations of the same ten questions.
The system: an agent on your site or WhatsApp answering from your real documentation, citing sources, and handing over to a person when the query goes beyond what's documented. It never improvises.
Operations that today depend on "asking the person who knows". When that person is away, the operation suffers.
The situation: machine settings, trusted suppliers for each reference, the "tricks" of every shift — all of it lives in two or three people's heads.
The system: we capture that knowledge (documenting it with those very people), index it and connect it to queries on the shop floor. Knowledge stops leaving at 6pm.
The situation: "any units left of reference X?" or "which orders ship this week?" means opening the ERP, knowing the transaction, reading the screen.
The system: AI queries the ERP directly (SAP, Sage, Sigrid…) and answers in plain language to whoever has permission. Stock, orders, production — with real data, not yesterday's copy.
The situation: forecasting is done "by eye" or on last year's average, and the stock pays for it.
The system: a forecasting model trained on your real sales and production history, reviewable and explainable — not a generic BI black box.
Sound familiar?
Within a week you have in writing what can be automated in your specific case, what's best left alone, and the estimated return of the priority pilots.
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