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AI use cases for your engineering team

Choose an engineering area and walk through a workflow. The examples explain tasks, possible AI support and the engineering review that remains necessary.

Find where AI can help.

From the first requirement to a field complaint: explore selected tasks from our use-case catalogue. Start with the work that holds your team back.

Find your starting point among 639 application ideas.

A tour of 60 areas in product development and adjacent functions. See the catalogue, our own tools and how we assess ideas.

Now explore selected examples yourself.

Choose a development phase below and explore an application.

Explore the map

The catalogue contains application ideas, not 639 delivered customer projects. The video loads only when you press play.
Development Landscape: video and description ↗

AImation / Development Landscape639 catalogue entries · 60 areas

Select an example

Three walkthroughs to try

Recurring defects →Test reports →Unclear requirements →
Application idea / Design

Drawing review

Check drawings against a checklist. Flag missing datums and conflicting specifications with their location.

Your team decides.

Design engineers retain approval responsibility.

Related training and tools
Build the skills in your teamAI tools for transformation

Explore tools for research and knowledge work. Training builds skills; implementing the workflow is a separate step.

Try the interactive learning sample

12 selected examples from the catalogue, as of September 2026. These are application ideas, not 639 delivered projects. Feasibility depends on your data and process.

The KI-Landkarte workshop selects and prioritises suitable cases for your business.

More detailed use cases
AI in product development: tasks, tools and your starting point

Does any of this sound familiar ?

Collecting figures in Excel, updating status slides in PowerPoint, writing minutes after the meeting. The actual engineering work has to wait.

We look at these time-consuming tasks with your team and assess which preparation AI can take on. Figures, statements and decisions must remain verifiable.

Estimate time savings

“We've always done it this way.”

Habit becomes a brake. Reports stay manual, knowledge stays in people's heads, and new approaches never even get considered.

Excel, PowerPoint and meeting follow-up: explore a practical workflow

Less preparation.
More development.

AI takes on searching, sorting and drafting. Your team reviews results and makes the decisions. Here is how a process could change.

Illustrative process

Why was this component changed?

TodayManual preparation
  1. 01

    Open folders

    Search drawings, emails and reports separately.

  2. 02

    Ask colleagues

    Who remembers the original decision?

  3. 03

    Reconstruct the answer

    Check versions and rationale yourself.

With AIAssisted, with review
  1. 01

    Connect sources

    Approved documents, respecting access permissions.

  2. 02

    Ask a specific question

    AI retrieves relevant passages with sources.

  3. 03

    Check the answer

    Your team checks evidence and currency.

From searching to a supported answer.

Without reliable evidence, the question stays open.

We measure time saved and check result quality in your pilot.

Find out where your engineering is losing time.

30-minute conversation. You get a concrete first step, even if we never work together afterwards.

Free, no obligation. Holger Peschke replies personally.

2 minutes, no prior knowledge needed

AI use cases for your engineering team | AImation