AI for business, in plain English

Short, jargon-free definitions of the AI terms that come up when you're running it across a team.

AI governance

AI governance is the set of policies, approvals and records a business uses to make sure AI is used responsibly — and to prove it.

Shadow AI is the use of personal or unsanctioned AI tools for work, outside any oversight from the organisation.

An LLM gateway is a single control layer that sits between your team and multiple AI models, routing requests and applying controls.

Prompt management is the practice of storing, approving and sharing a team's prompts so AI output stays consistent and on-brand.

AI DLP (data loss prevention) is the practice of stopping confidential or regulated data from being sent into public AI models.

Token cost is what AI models charge per "token" — a chunk of text — processed as input and output. It's the main driver of an AI bill.

An AI usage policy is a written statement of what staff may and may not do with AI, and how the firm keeps that use safe.

Model neutrality is the ability to use AI across multiple providers — Claude, ChatGPT, Gemini — without being locked to any one of them.

A prompt library is a shared, curated set of approved prompts a team reuses for its common tasks.