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What is artificial intelligence (AI)?

Artificial intelligence (AI) explained without buzzwords: what it is, how it works, and where it creates value in a Danish SMB today.

In short

Artificial intelligence (AI) is software that can solve tasks which normally require human intelligence, such as understanding language, recognising patterns in data and drafting text.

Instead of following fixed, hand-written rules, the systems are trained on large volumes of data from which they learn relationships. AI is relevant for virtually every business today because the technology has become available directly in the tools you already use, such as Microsoft 365 and other everyday applications.

Three points are worth remembering: Generative AI can produce text, images and code from plain-language instructions; the value in an SMB typically lies in the practical everyday tasks, such as email drafts, meeting summaries and document search; and safe use requires control over which data the AI tools are allowed to see and store. MI Support IT helps Danish businesses adopt AI securely and with measurable impact on daily work.

Back to the glossary

What is artificial intelligence (AI)?

Artificial intelligence (AI) is software that can solve tasks which normally require human intelligence: understanding and producing language, recognising patterns in large volumes of data, translating, summarising and suggesting. Where traditional software follows rules a developer has written, AI is trained on data, and can therefore handle tasks no one has programmed it for step by step.

The answer to "what is AI" needs no buzzwords: It is a tool that has become good at language and patterns, and that is now built into the applications most businesses already use.

How does artificial intelligence work?

In broad strokes: An AI model is trained by working through enormous amounts of examples (text, images, numbers) and adjusting itself until it can predict patterns in the material. A language model, for instance, has learned which words are likely to follow one another, across so many contexts that it can write coherent, relevant text.

The important thing to understand is that the model does not "know" anything the way a human does: It recognises patterns. That makes it strong at drafts, summarising and search, but it always needs a human to quality-check the result, especially on factual and legal questions.

Examples of AI in a Danish SMB

AI for businesses is rarely about big projects. Here are concrete examples of artificial intelligence creating value in daily work:

  • Email drafts and writing: First drafts of proposals, replies and posts, which the employee then edits.
  • Meeting summaries: Automatic transcription and summarising of Teams meetings with decisions and action items.
  • Document search: Ask questions in plain language and get answers based on the company's own documents, instead of digging through folders.
  • Customer service: Draft replies to recurring enquiries, so employees spend their time on the difficult cases.

Tools such as Copilot deliver exactly these features directly in Word, Outlook and Teams.

What is generative AI?

Generative AI is the branch of artificial intelligence that creates new content (text, images, code, audio) from an instruction in plain language. It is the technology behind ChatGPT and Microsoft Copilot, and it is what has made AI accessible to everyone: You do not need to be able to program, only to describe what you want. Older, "analytical" AI predicts and classifies (spam filters, for example); generative AI produces.

Is AI safe to use with company data?

It depends on the tool and the setup. Two things need to be in place: The agreement with the provider must ensure that your data is not used to train models or shared onwards, and your internal access management must be in order: An AI tool that can search all documents will also find the documents that should have been locked down. Classification and access management with, for example, Microsoft Purview is therefore often the first step. If you process personal data, Datatilsynet (the Danish Data Protection Agency) also imposes requirements around legal basis and risk assessment. In other words, the foundation is ordinary good IT security.

How MI Support IT can help

MI Support IT helps Danish businesses get started with AI safely: We identify the tasks where AI actually saves time, make sure data and access management are in place first, and train employees to use the tools sensibly. Read more about our AI consulting services, or contact us for a down-to-earth conversation about what AI can do for you.

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