19 – 20 February 2025 | Messe Dortmund

Co-located with
tepcon GmbH

Artificial intelligence as a co-pilot for greater efficiency and clarity in illustrated instructions.

Familiar work steps often run intuitively. Translating them into a good set of instructions, however, is a challenge. Explaining complex processes in a way that is understandable to everyone is very different from carrying them out in practice.

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Creating and formulating work instructions usually takes significantly more time than performing the tasks themselves. The requirement that instructions be clear, objective, and well structured further increases the effort involved. On digital platforms such as tepcon instructor, this process can be made much more efficient – and even faster and easier with AI support.

The instructor AI shows its greatest value when creating illustrated instructions. Existing images of machines, tools, or components are analyzed, enhanced, and supplemented with markers, symbols, or text fields within seconds. At the same time, the AI translates visual content into clearly written text that can be shortened or expanded with a single click. Users can adjust the output at any time or refine it through additional feedback. Manual fine-tuning is possible at all levels.

A key benefit lies in transforming subjective expert knowledge into objectively understandable instructions. Specialists often have deep technical insight, but instructions must also be comprehensible for inexperienced users. The AI bridges this gap, reduces room for interpretation, and minimizes sources of error.

In addition, the instructor AI ensures consistent language and structure across centralized knowledge bases. Defined target formats and standards – from choosing formal or informal address to the level of technical detail – eliminate stylistic inconsistencies. Additional features such as redacting sensitive information or documenting change histories complete the system. The AI is fully available in the Professional Edition and is continuously being developed.

Through ongoing feedback, the system continues to learn and supports teams with increasing precision, flexibility, and intuition – for both standard specifications and last-minute adjustments in day-to-day operations.

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