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AI Automation
Glossary

AI jargon, explained in plain English

AI comes with a lot of jargon, and most of it describes something quite simple. Here are the terms our clients ask about most, each explained in plain English with an example from a small business using Microsoft 365.

A to Z

The terms you’ll hear when people talk about AI

AI agent

An AI agent is software that works towards a goal by choosing its own next steps and using tools, like searching files or updating records, not just chatting.

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AI hallucination

An AI hallucination is when an AI tool gives an answer that sounds confident and plausible but is wrong or made up, like a false reference or invented figure.

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Data processing agreement (DPA)

A data processing agreement (DPA) is the contract UK GDPR requires when a supplier handles personal data for you, setting out how they may use and protect it.

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Human in the loop

Human in the loop means an automation hands certain decisions or unclear items to a person to check or approve, instead of acting on everything by itself.

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Large language model (LLM)

A large language model (LLM) is the AI behind tools like ChatGPT, Claude and Copilot: a system trained on vast amounts of text to read and write language.

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Microsoft 365 Copilot

Microsoft 365 Copilot is Microsoft’s paid AI assistant in Outlook, Word, Excel and Teams, able to work across the emails, meetings and files you can access.

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Power Automate

Power Automate is Microsoft’s tool for automated workflows between apps, such as saving email attachments to SharePoint or sending approval requests in Teams.

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Retrieval-augmented generation (RAG)

Retrieval-augmented generation (RAG) is AI that answers from your own documents: it finds the relevant passages first, then writes an answer based on them.

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Shadow AI

Shadow AI is staff using AI tools the business hasn’t approved, such as pasting client emails into a free chatbot, often with no idea where that data goes.

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Workflow automation

Workflow automation is software doing the repeatable steps of a business process, like filing, routing and data entry, so people handle only the exceptions.

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