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Use case

Inquiry in, quote out: the AI agents build the concrete quote autonomously

From an informal customer inquiry the sales agents autonomously build a finished quote: they extract the requirements, configure the recipe per EN 206 / DIN 1045-2 (strength, exposure classes, consistency, cement), price it from the price list including pump and delivery, and produce the send-ready Angebot as a PDF. Discount and final release stay with sales.

Seconds
a quote instead of an hour of price list & recipe
EN 206
recipe by the norm, matched to the exposure class
Autonomous
agents build the quote — release stays with sales
The starting point

A concrete quote requires the right recipe by the norm, the matching exposure class and pricing from the price list — easily an hour of work per inquiry that slows sales down.

How it works
1

Informal inquiry in

An informal customer inquiry is enough as a starting point.

2

Configure the recipe and price it

The agents extract the requirements, configure the recipe per EN 206 / DIN 1045-2 and price it including pump and delivery.

3

Send-ready quote out

The quote is produced as a PDF — discount and final release stay with sales.

The outcome
Seconds
a quote instead of an hour of price list & recipe
EN 206
recipe by the norm, matched to the exposure class
Autonomous
agents build the quote — release stays with sales
Grounded in

Grounded in EN 206 / DIN 1045-2 (concrete standards) and the price list. Discount and final release stay human, with sales.

Book a demo

See it on your own use case.

30 minutes, scoped to your industry, frameworks and integrations. You leave with a concrete scenario — not a sales loop.