AI Glossary
Plain-English explanations of the AI terms you'll hear most — and why each one matters for your business.
AI
Software that can do tasks that normally need human thinking, like reading, writing, or sorting information.
Why it matters: Saves time and reduces repetitive admin.
AI Agent
An autonomous software program that can perform tasks, make decisions, and interact with users or systems without constant human supervision.
Why it matters: Handles calls, bookings, data entry, and workflows 24/7.
AI Receptionist
An AI-powered virtual receptionist that answers calls, greets callers, handles enquiries, books appointments, and routes calls.
Why it matters: Reduces missed calls and captures more leads after hours.
API
A set of rules that lets different software systems communicate with each other.
Why it matters: Connects AI tools to Xero, CRM, booking systems, and other apps.
Automation
Using technology to perform repetitive tasks without human intervention.
Why it matters: Cuts manual work, speeds up processes, and lowers admin costs.
Business Intelligence (BI)
Using data tools and AI to turn raw data into useful business insights.
Why it matters: Helps owners track KPIs, spot trends, and make better decisions.
Chatbot
A software application that simulates human conversation through text or voice.
Why it matters: Answers common questions fast and improves customer service.
Computer Vision
AI that can interpret and understand images and video.
Why it matters: Useful for quality control, security, and visual checks.
Conversational AI
AI that enables natural, human-like conversations through voice or text.
Why it matters: Makes phone and chat support feel more natural and useful.
CRM
Customer Relationship Management software for managing leads, customers, and sales activity.
Why it matters: Keeps follow-up organised and helps grow sales.
Custom LLM
A large language model customised for a specific business, industry, or use case.
Why it matters: Gives more relevant answers using your language, data, and rules.
Data Privacy
Protecting personal information collected and processed by AI systems.
Why it matters: Reduces legal and reputational risk.
Deep Learning
A type of machine learning that uses neural networks with multiple layers.
Why it matters: Powers speech recognition, image analysis, and advanced language tools.
Edge AI
AI that runs on local devices rather than in the cloud.
Why it matters: Faster, more secure, and useful where connectivity is limited.
Fine-Tuning
Training a pre-existing AI model on your own data.
Why it matters: Makes AI better suited to your business and industry.
Generative AI
AI that creates new content such as text, images, audio, code, and video.
Why it matters: Speeds up content creation, drafting, and idea generation.
Hallucination
When AI makes up information that sounds real but is wrong.
Why it matters: A serious risk if answers are not checked or grounded in data.
Integration
Connecting software systems so they share data and work together.
Why it matters: Removes double entry and makes workflows smoother.
IVR
A phone system with menu options like “Press 1 for sales”.
Why it matters: Often replaced by better conversational AI.
Knowledge Base
A structured collection of information that AI uses to answer questions.
Why it matters: Improves accuracy and consistency in answers.
LLM
Large Language Model, an AI model trained on huge amounts of text.
Why it matters: Powers chatbots, writing tools, and AI assistants.
Machine Learning
AI that improves by learning from data rather than fixed rules.
Why it matters: Helps systems predict patterns and improve over time.
Natural Language Processing
AI that helps machines understand and respond to human language.
Why it matters: Used in chatbots, email sorting, and voice assistants.
Neural Network
A computing system inspired by the human brain.
Why it matters: Underpins modern AI pattern recognition and language tools.
Onboarding
Setting up and configuring AI for your business.
Why it matters: Ensures the AI is trained, tested, and ready to use properly.
Predictive Analytics
Using AI and data to forecast future outcomes.
Why it matters: Useful for demand, churn, inventory, and cash flow planning.
Prompt Engineering
Writing effective instructions for AI systems.
Why it matters: Better prompts give better, more useful outputs.
RAG
Retrieval-Augmented Generation, where AI checks a knowledge base before answering.
Why it matters: Reduces hallucinations and keeps answers grounded in your data.
ROI
Return on Investment, the financial return from an AI spend.
Why it matters: Helps owners judge whether the AI is actually worth it.
SaaS
Software delivered over the internet on a subscription basis.
Why it matters: Lower upfront cost and easier ongoing updates.
Sentiment Analysis
AI that detects whether text or speech is positive, negative, or neutral.
Why it matters: Helps flag unhappy customers and track feedback.
Speech-to-Text
AI that converts spoken words into written text.
Why it matters: Useful for call summaries, transcription, and voice systems.
Text-to-Speech
AI that converts written text into natural-sounding speech.
Why it matters: Powers realistic voice agents and phone systems.
Token
A unit of text that AI models process.
Why it matters: Helps estimate usage and AI costs.
Training Data
The information used to teach an AI model how to perform its task.
Why it matters: Better training data means better AI performance.
Voice AI
AI that understands and produces human speech for phone conversations.
Why it matters: Captures calls, books jobs, and works outside business hours.
Workflow Automation
Automating multi-step business processes across multiple systems.
Why it matters: Saves time and makes operations more reliable.