AI in practice
AI for large organisations and public bodies
AI for large organisations with 250+ staff and public bodies: buying through frameworks such as G-Cloud, supplier security checks, board oversight and AI NEDs.
Category · 10 articles
How businesses put AI to work day to day, and what they learn along the way.
AI in practice
AI for large organisations with 250+ staff and public bodies: buying through frameworks such as G-Cloud, supplier security checks, board oversight and AI NEDs.
AI in practice
AI for medium-sized businesses with 50 to 249 staff: first projects, running a supplier process, security checks, fractional leadership and board oversight.
AI in practice
Practical AI security for small businesses: securing accounts and settings, stopping data leaks, prompt injection, AI agents and Cyber Essentials.
AI in practice
AI tools fail when staff do not trust or use them. How a small business can involve its team, talk honestly about change and build skills in everyday work.
AI in practice
You do not need perfect data to start with AI. How to tidy just the information your first use needs, and avoid the mistakes that make AI confidently wrong.
AI in practice
Logins and time saved do not prove an AI tool is worth it. Measure the full cost of each finished task against a baseline, and how often people overrule it.
AI in practice
Practical guardrails for AI tools and agents in a small business. Decide what AI may do alone, what needs a person's approval, and how to undo mistakes.
AI in practice
Prompt injection explained in plain English, with small-business examples, what the NCSC says about it and the questions to ask an AI supplier.
AI in practice
How to pick, size and measure a first AI project in a small business, with clear rules for when to stop and when to scale up.
AI in practice
Most AI trials that go nowhere fail for ordinary reasons. How to run a small pilot that ends in a clear yes or no, and survives contact with real work.