AI-Assisted Quality Management

Use AI where it speeds up quality work – with clear rules for control and confidentiality.

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What your organisation gains

More time for judgement

Routine work such as reviewing, summarising and comparing is supported.

Controlled use

Clear rules for data protection, confidentiality and human approval.

Realistic expectations

Your team knows what AI can reliably do today and what it cannot.

Who it is for

  • Quality managers and quality departments
  • Process owners
  • Leaders in engineering and quality

Learning objectives

  • Evaluate fields of application for AI in quality management
  • Understand risks such as hallucinations, data leakage and prompt injection
  • Define rules for human control
  • Plan a pilot with measurable benefit

Agenda and content

  1. Possibilities and limits

    What language models can do and where they fail.

  2. Fields of application

    Reviews, document analysis, reporting, knowledge management.

  3. Governance

    Data protection, confidentiality, approvals, traceability.

  4. Pilot planning

    Use case, success criteria, tool selection.

How you can book this course

Live remote

Interactive training by video with exercises in small groups.

In-house

At your site or exclusively for your team, with examples from your projects.

Request training

Non-binding. We will reply with dates, format and a quote.

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