The request arrives as a PDF. A 38 page specification, plus a sketch of the factory hall on page 12 with dimensions added by hand. Before it turns into a quotation with a layout, every single requirement travels through the company four times: it is retyped, maintained in an Excel list, transferred into the configurator and finally drawn into the layout. The same information four times, four opportunities for an error. Engineering AI shows how customer requirements can be captured automatically instead.<\/p>\n\n\n\n
A typical Monday morning at a plant manufacturer: the project engineer reads the specification, marks the relevant passages and transfers conveyor lengths, cycle times and connection values into a spreadsheet. The spreadsheet goes to the colleague who operates the configurator. She configures the individual modules and hands the result over to the design department, which builds the layout.<\/p>\n\n\n\n
Two days later, the design team notices that the sketch specifies a passage width of 2.40 m, while the spreadsheet says 2.04 m. The loop starts all over again. Transposed digits like these are not the result of carelessness. They happen because people have to translate unstructured documents into structured systems and handle every number several times along the way.<\/p>\n\n\n\n
A realistic example: a specification contains 40 relevant parameters. Each of them is transferred four times, which adds up to 160 manual entries per request. Even if only one entry in a hundred is wrong, every request contains an average of one and a half incorrect values.<\/p>\n\n\n\n
The usual response is to double check and add another approval loop. That makes the process slower, but not safer. As long as engineers work as translators between PDF and configurator, the error remains built into the process, and the time it takes is missing from actual engineering work.<\/p>\n\n\n\n
The obvious idea is a language model that reads the PDF and handles the configuration itself. This is exactly where many current AI promises go wrong. A language model delivers probabilities. In manufacturing, however, what counts is not whether a result sounds plausible, but whether it is correct.<\/p>\n\n\n\n
An answer that is mostly right means, in plant engineering, an invalid bill of materials, a wrong interface or a compliance violation. Anyone who adopts AI output without verification replaces the typing error with an error nobody can trace anymore.<\/p>\n\n\n\n
The sensible approach separates the two tasks. The Lino\u00ae AI Agent reads inquiries, quotations and technical documents and identifies the configuration parameters they contain. When a customer uploads a sketch as a PDF, the agent also recognizes the requirements there. If information is missing, it asks follow-up questions, just as an experienced sales engineer would.<\/p>\n\n\n\n
What happens next is decisive: no output reaches the configurator unchecked. A validation layer compares every suggestion against the applicable rule set. The system detects requests that violate the rules and explains the rejection in a traceable way. The configurator remains the single source of product truth: deterministic, versioned and auditable.<\/p>\n\n\n\n
This division of labor also makes economic sense. For executing known product logic, rules are computationally inexpensive, while AI inference is costly. AI pays off when capturing and structuring information. When it comes to execution, rules win.<\/p>\n\n\n\n
Once the configuration is valid, the agent generates 3D models, technical data sheets, drawings and quotations at the push of a button. Via Lino\u00ae Hub, the data flows on into ERP, PDM, CRM or CPQ systems. Four transfers become a single capture that carries through to the configuration of the individual modules and their arrangement in the layout.<\/p>\n","protected":false},"excerpt":{"rendered":"
Capture Customer Requirements Automatically The request arrives as a PDF. A 38 page specification, plus a sketch of the factory hall on page 12 with dimensions added by hand. Before it turns into a quotation with a layout, every single requirement travels through the company four times: it is retyped, maintained in an Excel list, … Continued<\/a><\/p>\n","protected":false},"author":5,"featured_media":38518,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[393,565],"tags":[524,632,525,526,637,638],"class_list":["post-38521","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-press-releases","category-technical-article","tag-3d-aufstellplanung","tag-cad-automation","tag-design-automation-2","tag-konstruktionsautomatisierung-en","tag-software-made-by-lino","tag-systemintegration"],"acf":[],"primary_category":565,"publishpress_future_action":{"enabled":false,"date":"2026-10-13 05:38:37","action":"change-status","newStatus":"draft","terms":[],"taxonomy":"category","extraData":[]},"publishpress_future_workflow_manual_trigger":{"enabledWorkflows":[]},"_links":{"self":[{"href":"https:\/\/www.lino.de\/en\/wp-json\/wp\/v2\/posts\/38521","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.lino.de\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.lino.de\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.lino.de\/en\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/www.lino.de\/en\/wp-json\/wp\/v2\/comments?post=38521"}],"version-history":[{"count":1,"href":"https:\/\/www.lino.de\/en\/wp-json\/wp\/v2\/posts\/38521\/revisions"}],"predecessor-version":[{"id":38522,"href":"https:\/\/www.lino.de\/en\/wp-json\/wp\/v2\/posts\/38521\/revisions\/38522"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.lino.de\/en\/wp-json\/wp\/v2\/media\/38518"}],"wp:attachment":[{"href":"https:\/\/www.lino.de\/en\/wp-json\/wp\/v2\/media?parent=38521"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.lino.de\/en\/wp-json\/wp\/v2\/categories?post=38521"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.lino.de\/en\/wp-json\/wp\/v2\/tags?post=38521"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}