Business & Applications
Summarisation
AI condensing long documents into concise summaries.
Definition
Summarisation is one of the most immediately valuable LLM capabilities for businesses. A model can read a 50-page contract, a 3-hour meeting transcript, a 200-email thread, or a lengthy report and produce a coherent, accurate summary in seconds. The model identifies the key points and discards the noise. Extractive summarisation quotes directly from the source; abstractive summarisation generates new text that captures the meaning — modern LLMs primarily use the latter.
Why this matters for your business
Automatically summarising inbound correspondence, meeting notes, and reports is one of the highest-ROI AI applications for knowledge workers — saving 30–60 minutes per day in some roles.
Related Terms
Document QA
Using an LLM to answer questions based on specific uploaded documents.
Large Language Model (LLM)
A type of AI trained on vast amounts of text that can read, write, summarise, and reason with language.
RAG (Retrieval-Augmented Generation)
Combining an LLM with a search system so it can look up current or specific information before responding.
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Disclaimer
This definition is provided for educational and informational purposes only. It represents a general explanation of a technical concept and does not constitute professional, technical, or investment advice. Artificial intelligence is a rapidly evolving field; terminology, techniques, and capabilities change frequently. Coaley Peak Ltd makes no warranty as to the accuracy, completeness, or currency of the information provided. Nothing on this page should be relied upon as the sole basis for commercial, technical, legal, or investment decisions without independent professional advice.
Document reference: ISO_webpage_knowledge-base_glossary_v1
Last modified: 29 March 2026
Knowledge Base·Business & Applications·Summarisation