# AI

> Artificial intelligence (AI) covers methods that let a computer perform tasks which would require intelligence if a person did them.

Original page: https://t10.de/en/glossary/ai
Publisher: total10 GmbH, https://t10.de/en/glossary

The German business encyclopaedia [Gabler Wirtschaftslexikon](https://wirtschaftslexikon.gabler.de/definition/kuenstliche-intelligenz-ki-40285) treats AI as the study of intelligent problem-solving behaviour and of building intelligent computer systems. Article 3(1) of the [EU AI Act](https://eur-lex.europa.eu/legal-content/EN/TXT/HTML/?uri=OJ:L_202401689) describes an AI system as machine-based and designed to operate with varying levels of autonomy; such a system may adapt once in use and works out from its input how to produce outputs such as predictions, content, recommendations or decisions. Recital 12 adds that the definition should not cover systems that automatically carry out rules set solely by people.

In e-commerce, AI can write product copy from a shop's real product data, for example with RAG. In pharmaceutical logistics, a large language model can draft the text of a monthly report, with every figure taken from the application's data, not the model.

We use AI deliberately, and every tool proves itself in our own business first. Our guiding principle: people stay in charge, the model is an interchangeable tool and the system belongs to the client. In pharmaceutical projects, our code also goes through an AI-assisted security audit. Where a fixed rule does the job reliably, we advise against AI. A task that comes up once a quarter needs a checklist, and some problems call for a good form rather than an AI agent.

## See also

- [AI agent](https://t10.de/en/glossary/ai-agent): An AI agent is a software system, built on a large language model, that carries out actions on its own and uses interfaces to other programs to reach its goal.
- [RAG](https://t10.de/en/glossary/rag): Retrieval-augmented generation (RAG) is a method that lets a generative AI model draw on documents held in a knowledge base and use them to enrich its output.
- [Large language model](https://t10.de/en/glossary/large-language-model): A large language model (LLM) is an AI model, trained on large amounts of text, that processes text inputs called prompts and generates text outputs from them.

## Where the term appears

- [Custom AI agents for businesses](https://t10.de/en/ai-agents)
- [AI product copy and SEO content with RAG](https://t10.de/en/seo)
- [E-commerce for SMEs: shops, content, AI](https://t10.de/en/ecommerce)
- [Non-GxP in pharma: what we build, what we leave out and where our systems stop](https://t10.de/en/blog/non-gxp-pharma-logistics)
- [The self-driving content machine](https://t10.de/en/blog/self-driving-content-machine)
- [Out of the inbox: a knowledge platform for a pharma logistics provider](https://t10.de/en/blog/knowledge-platform-pharma)
- [About us: two founders, one team, two worlds](https://t10.de/en/about-us)
- [Online shops: Shopify and Shopware 5 agency](https://t10.de/en/online-shops)

## Sources

1. [Künstliche Intelligenz (KI), Autoren: Prof. Dr. Richard Lackes, Dr. Markus Siepermann (TU Dortmund)](https://wirtschaftslexikon.gabler.de/definition/kuenstliche-intelligenz-ki-40285), Gabler Wirtschaftslexikon (Springer Gabler), accessed 2026-11-07
2. [Verordnung (EU) 2024/1689 des Europäischen Parlaments und des Rates vom 13. Juni 2024 zur Festlegung harmonisierter Vorschriften für künstliche Intelligenz (Verordnung über künstliche Intelligenz), ABl. L, 2024/1689, 12.7.2024, deutsche Fassung](https://eur-lex.europa.eu/legal-content/DE/TXT/HTML/?uri=OJ:L_202401689), Europäische Union, Amtsblatt (EUR-Lex), accessed 2026-11-07