Workplace glossary

What is Generative AI?

Definition & practical guide1 min read

Generative AI is the family of models that produce new content: text, images, code, audio or summaries, rather than only classifying or ranking what already exists. Large language models are its best-known members, and tools built on them now sit inside most office software.

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For workplace teams the practical uses are unglamorous and real: summarising utilisation reports, drafting policies, answering “how do I book a visitor” questions, and turning natural-language requests into actions in booking systems. The caution is equally practical: generative models can state wrong things fluently, so outputs that drive decisions need a human or a system check.

Common questions

What does Generative AI mean in simple terms?

Generative AI is the family of models that produce new content: text, images, code, audio or summaries, rather than only classifying or ranking what already exists. Large language models are its best-known members, and tools built on them now sit inside most office software.

How is Generative AI measured and reported?

For workplace teams the practical uses are unglamorous and real: summarising utilisation reports, drafting policies, answering “how do I book a visitor” questions, and turning natural-language requests into actions in booking systems. The caution is equally practical: generative models can state wrong things fluently, so outputs that drive decisions need a human or a system check.