AI glossary
Plain-English definitions of the AI terms that come up when you’re deciding how to use AI in your firm, written by the people who build these systems.
- AI-NativeAI-native describes a product, application, or organisation designed around artificial intelligence from the ground up — where AI is the foundation of how the thing works, not a feature added to an existing design. Remove the AI from an AI-native system and it stops making sense.Read the full definition
- MCP (Model Context Protocol)The Model Context Protocol (MCP) is an open standard that lets AI assistants securely connect to a business's tools, databases, and documents. Instead of building a custom integration for every AI application, a company exposes its systems once — via an MCP server — and any MCP-compatible AI client can use them.Read the full definition
- AI Readiness AssessmentAn AI readiness assessment is a structured evaluation of whether an organisation is prepared to adopt AI successfully. It scores readiness across five dimensions — strategy, data, workflows, people, and governance — and produces a prioritised roadmap of what to fix before and during AI adoption.Read the full definition
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