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Why your company knowledge is the most important input

A generic model can form a sentence. It cannot say how you develop a product, what 991203 is or whether dual-source is required. The value is that the colleagues answer like someone who has worked here, because they read your shelves.

Without your knowledge it is a chat. With it, it is a colleague.

The same question gives two companies two different answers, if the source is theirs. Process documents, product files and company standards are not “a bit of extra context”. They are the difference between generic advice and an answer you can use. The three shelves are below. They are not mixed. You will recognise the AI answer that sounds smart and is wrong for your process.

Three kinds of documents, not one pile

Product development is rarely one discipline. Mechanics, electronics, firmware, software, test, quality, purchasing and manufacturing depend on each other. A change in one part of the chain hits several others. Colleag.ai therefore keeps three kinds of documents apart: what applies to the company, what describes how the company works and how the development process runs, and what applies to a single product. Otherwise a purchased ISO standard lands in the same folder as a product specification, and it is no longer clear who owns what.

  • Company documents

    Purchased standards and company rules: ISO, IEC, design rules, the quality manual. They apply regardless of product and regardless of discipline. They set the frame. They do not describe this article’s BOM, and they do not describe how a team brings up a new product.

  • Process documents

    They describe how the company works and how the product development process runs, from requirements and design through test, purchasing, manufacturing and release. In English they are often called SOPs, standard operating procedures. They are not a hardware list. They say how disciplines work together, who approves, which documents must exist, and how a change is handled when it hits more than one discipline.

  • Product documents

    Requirements, specification, BOM, tests, drawings and interfaces for a single product. They follow the article. They should match the process documents and the company standards, but they are not the same as the procedures and not the same as the ISO file.

Process documents as the way you work

Process documents describe how you usually work: hardware development, purchasing, deviation. In English they are often called SOP, standard operating procedure. We say process document. Without them the colleague guesses how a typical company works. With them it answers as if it had sat in on your reviews.

Product files as working knowledge

BOM, spec, test register and change history are what make 991203 not “an article”. It is your article, with your tolerances and your allowed list. When the question comes, the answer should fetch that file, not a generic explanation of how a BOM works.

The company standard that does not live in someone’s head

How you name, how you release, what must be approved. That is the third shelf. It is not mixed with the product file and not with the process document. When the person who “knows how we do it here” is gone, the shelf should still answer.

Live ERP as the fourth layer

Monitor is fetched when the question is asked, not as an overnight dump. Stock, supplier and address are laid against the drawing and the routine. You do not write back. You get an answer with a source, the way the colleague in the corridor would have answered if they had both screens open.

Key benefits

  • AI colleagues that understand your specific processes and standards
  • Decisions grounded in your product data, not generic knowledge
  • Institutional knowledge preserved independently of personnel changes
  • Continuously improving context as your team works
  • Consistent application of your company standards across all disciplines

Read more

What separates a generic chatbot from Colleag.ai? Context. Process documents, product files, company standards and live Monitor in the same answer. Without them the model guesses. With them it can say which suppliers in China deliver 991203 and whether dual-source is required by your procedure.

Without process documents, product files and live Monitor, a model guesses. With the shelves kept apart it can say which suppliers in China deliver 991203 and whether dual-source is required by your procedure, with a source, not “check purchasing”.

Company context is not a chatbot prompt you paste in. It is files, procedures and a read ERP that follow the question. That is why two companies that both “have Monitor” get different answers.

How this differs from ERP, PLM, LCM and project systems

ERP
ERP is the third layer, fetched when the question is asked, not a nightly export.
PLM
PLM is a source. It is not the colleague that reads the process document and the drawing together.
LCM
LCM gives status. It does not give how you do the work.
Project management systems
The project tool remembers tickets. It does not remember why R1A was approved.

What Colleag.ai does here that those systems do not

  • Process document, product file and live ERP in the same sentence
  • Answers with a source, not with a probability
  • Knowledge that stays when the person leaves

See it in action

Book a 30-minute demo and see how Colleag.ai handles this for your team.

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