Glossary

AI adoption is the work of moving AI tools from purchased to used in daily work. Learn what it involves and why most rollouts stall.

An AI agent is software that takes a goal, decides the steps and uses tools to act. Here is what that means for a small business, with an example.

AI governance is the set of rules and responsibilities for using AI safely in a business. Learn what a small team needs and what it can skip.

AI readiness describes how prepared your data, people and processes are to get value from AI. Learn the main checks and a quick self-test.

An API lets one piece of software talk to another in a set way. Here is what it is, why it matters for automation and a plain example.

The context window is the amount of text an AI model can hold in view at one time. Learn why it matters and how to work within it.

A CRM is software that records your customers, leads and conversations in one place. Learn what it does and how it supports automation.

A custom GPT is a version of ChatGPT preset with instructions and files for one task. See what it can do, its limits and a business example.

Fine-tuning trains an existing AI model further on your examples to change its style or behaviour. See when it helps and when simpler options win.

An AI hallucination is a confident answer that is false or invented. Learn why it happens, where it hurts a business and how to reduce the risk.

Human in the loop means a person reviews or approves what AI does before it takes effect. Learn when you need it and how to set it up simply.

An integration links two software tools so information moves between them without retyping. Learn the main types and what to check before building one.

A large language model is the AI behind ChatGPT, Claude and Gemini. Here is what it does, what it cannot do and why it matters for your business.

Low-code platforms combine visual building with small amounts of custom code. See how they differ from no-code and when they suit a business.

The Model Context Protocol is an open standard for connecting AI assistants to tools and data. Here is what it does and what to check before using it.

No-code tools let you build apps and automations by clicking and configuring, not coding. Learn what they do well and where they hit limits.

Process mapping documents the steps, people and handoffs in a task. Learn how to do it in an afternoon and why it comes before any automation.

A prompt is the instruction you give an AI tool. Learn what makes a good one, why wording matters and see a simple business example.

Prompt engineering is the skill of writing AI instructions that give consistent, useful results. Here is what it covers and how a business can apply it.

Retrieval-augmented generation lets an AI answer from your own documents instead of memory. See how it works and when a small business needs it.

Shadow AI is staff using AI tools without the business knowing. Learn the risks, why it happens and how to handle it without banning everything.

A token is a small chunk of text an AI model reads and writes. Learn why tokens set usage costs and limits, with a simple business example.

A webhook is an automatic message one app sends another when an event occurs. See how it differs from an API and where a business uses it.

Workflow automation uses software to run a repeated business process with little manual effort. Learn how it works, where it fits and a simple example.