Practical guides, frameworks, and honest takes on adopting AI — written for decision-makers, not developers. No hype, no hallucinated stats, no vendor talking points.
How to write an AI usage policy section by section — the seven-section structure, a copy-paste starter you can adapt in an afternoon, and the five mistakes that make a policy useless. Written for UK SMEs, sized for a small business, not an enterprise.
Read the guideHow to write an AI usage policy section by section — the seven-section structure, a copy-paste starter, and the five mistakes that make a policy useless. Sized for a UK SME, not an enterprise.
The three-way API decision every UK SME faces after committing to a bespoke build — Claude API, Azure OpenAI, or OpenAI direct. Residency, governance, cost shape, and a simple decision framework.
How a UK property management firm cut tenant email triage from 14 minutes to 3 with a custom AI tool built on the Claude API. Seven-week build, ~£71k annualised saving, and the lessons we would apply next time.
Most UK AI automation projects quietly stall. Three stall patterns, the ten-minute test that predicts them, and what shipping teams do differently.
A practical, step-by-step guide to AI integration for UK businesses — five stages, four-to-eight-week timeboxes, and where most projects fail.
How to evaluate AI consultancies in the UK without falling for demoware. The four types of consultancy, the questions that separate them, and how to write the brief.
How a UK accountancy firm cut document processing time by 70% with a bespoke AI tool built on the Claude API. Four-week build, real numbers, and a three-test rule.
Most AI governance frameworks were written for FTSE 100 boards. This is the lightweight, opinionated, five-pillar framework we use with UK SMEs — with a 30-day rollout plan.
Microsoft just launched Copilot Cowork — an agentic AI tool powered by Anthropic's Claude, not OpenAI. We break down what it does, what it costs, and whether UK businesses should care.
Your team spends 4.1 hours a day on email. AI email triage cuts that in half — not by sending automated replies, but by sorting, prioritising, and routing so humans don't have to.
Most businesses don't have an AI problem. They have a productivity problem they don't realise AI can solve. Here's why the conversation needs to change.
There's a difference between “our business has access to AI tools” and “our business is ready to use AI effectively.” Here's what you need to sort out first.
AI adoption is moving faster than policy. Across most UK businesses, employees are using ChatGPT, Copilot, and other AI tools with minimal oversight. The fix is a pragmatic AI usage policy.
“Automate everything” is not a strategy. “Automate the thing that takes the most time and follows the most predictable pattern” is. Here are the five processes to start with.
“Should we just roll out Copilot, or do we need something custom?” The answer is almost always “both, but for different things.” Understanding which tool belongs where saves real money.
When a business decides to embed AI into its operations, the first and most consequential decision is which model to build on. Choose wrong and you'll spend the next eighteen months unpicking a foundation that doesn't fit.
Book a free discovery call. No pitch, no jargon — just an honest discussion about where AI could make a real difference.