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Development

New product development with Colleag.ai

You are building something that is not in series yet. There is no article, no finished bill of materials (BOM) and no test plan to copy. What you do have is how you usually develop products, plus loose notes. The value here is that the first structure is in place before anyone starts hunting files.

The Colleag workspace in the foreground of an electronics lab. In the background two colleagues assemble a prototype.

You know how you develop products. Colleag.ai gives you a structure to collaborate in.

In week one the drawing is rarely what is missing. What is missing is a shared picture of what must exist: overview, requirements, hardware and firmware specifications, test and purchasing. Without that picture, mechanics, electronics and firmware start in separate folders. Nobody sees the full scope. Colleag.ai reads your process documents and lays the product tree. Your colleagues get a structure to work in together. The AI colleagues get the same insight, and can help with what it takes to structure and produce what a complicated project actually needs. The structure is the first thing you get, not the last thing you clean up.

The process exists before the product does

When the article is not in the enterprise resource planning system (ERP) yet, the product documents are empty. What already exists are the process documents: how the company develops products across disciplines, which files must exist from day one, who approves. In the photo the team asks against that process and gets a list of what is missing in the product tree: overview, requirements, hardware and firmware specification. Company standards from the International Organization for Standardization (ISO) and the International Electrotechnical Commission (IEC) sit on their own shelf. They are not mixed into the product folder.

Requirements capture across disciplines

Your AI colleagues help capture and structure requirements from every discipline, mechanical, electrical, software, firmware, quality, and manufacturing. Each requirement is linked to its source, its rationale, and the disciplines it affects. When a requirement changes, every downstream impact is traced automatically.

Specification structure built as you design

As the design evolves, Colleag.ai builds and maintains the specification hierarchy. Product specifications, sub-system specs, interface specs, and test specs are generated from engineering decisions and kept synchronized. Engineers review and approve, they don't write from scratch.

Cross-discipline coordination from day one

Every discipline sees the same product context. When the hardware team selects a processor, the firmware team is notified of the interface changes. When manufacturing identifies a constraint, the design team gets immediate feedback. No more waiting for review meetings to discover conflicts.

Production-ready documentation

By the time the design is finalized, the documentation is already complete: bills of materials (BOM), manufacturing instructions, test procedures, compliance records, and customer manuals. All generated incrementally as the project progressed, all traceable to engineering decisions.

Key benefits

  • Structured requirements from day one
  • Specifications generated and maintained automatically
  • Cross-discipline visibility throughout the project
  • Documentation ready when the design is ready
  • Full traceability from requirements to test evidence

Read more

How do you start new development when the product is not in Monitor yet and product data management (PLM) is empty? Colleag.ai runs against your process documents and templates from day one. The enterprise resource planning system (ERP) has no article. Lifecycle management (LCM) starts after release. The project tool has a kickoff without product knowledge.

New product work starts before the article exists in Monitor and before product data management (PLM) is filled. Colleag.ai runs against the process documents, how you bring up a product, so requirements and specifications do not wait for someone to create article 000000.

The enterprise resource planning system (ERP) has no article. Lifecycle management (LCM) starts after release. The project tool has a kickoff without product knowledge. What you get here is colleagues that already know how you work, not an empty wiki mixed with files from the International Organization for Standardization (ISO).

How this differs from enterprise resource planning (ERP), product data management (PLM), lifecycle management (LCM) and project systems

ERP
The enterprise resource planning system (ERP) gets the article later. The context must exist before that.
PLM
Product data management (PLM) fills when you have something to check in. The colleagues are already working.
LCM
Lifecycle management (LCM) is not a development tool.
Project management systems
The project plan is time. Requirements and specifications are Colleag.ai.

What Colleag.ai does here that those systems do not

  • Process documents and agents before the first article exists
  • Documentation that grows with the decision
  • The same tree that later goes into in-service

See it in action

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

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