AI explained

Understand what AI tools and agents can do, how they work and where they could help your business.

What is an AI agent?

Learn how AI can carry out a business task, work with your systems and ask for approval when needed.

See how agents work ›

Explore AI platforms

Anthropic

Claude

Explore Claude, its everyday business uses and the different ways to work with it.

Explore Claude ›

OpenAI

ChatGPT & Codex

Understand ChatGPT for everyday work and how Codex fits into building and maintaining software.

Explore ChatGPT & Codex ›

Google

Google AI

Explore Gemini, document research and everyday automation in Google Workspace.

Explore Google AI ›

xAI

Grok Bot

Learn how to delegate tasks to an AI agent that works across files, apps and websites.

Explore Grok Bot ›

AI terminology

Understand the terms behind AI agents and systems.

MCP — Model Context Protocol

Connecting AI to your tools and data

MCP is a shared standard for connecting AI applications to software, files and databases. It lets an AI assistant retrieve information and perform actions through compatible connections.

For example: An assistant uses MCP to check a customer’s order in your sales system.

Read more about MCP in the AI Agents guide ›

A2A — Agent2Agent Protocol

Connecting AI agents to each other

A2A is a shared standard that lets AI agents communicate and work together, even when built on different platforms. They can exchange information, delegate tasks and return results.

For example: A sales agent asks a delivery agent to arrange shipping and receives the confirmed delivery date.

Read more about A2A in the AI Agents guide ›

Where could AI help your business?

We can help you identify a useful first task and work out what is needed to put it into practice.