Practical writing on AI for small and mid-sized businesses. No buzzwords, no vendor pitches — just what we've actually seen work.
Bill is a quiet bookkeeper that lives in WhatsApp. Speak a sale, photograph an invoice — the ledgers, stock counts and HMRC VAT return happen in the background. Built for corner shops, trades and everyone who didn't open a shop to do data entry.
Read the post →FoodFace recognises returning guests at the door, surfaces their preferences to the floor team, and cues a personalised welcome — 85% recognition accuracy, matches in under a second, and 40% shorter waits. Here is how it works, including the consent question everyone asks first.
We've watched 30+ AI pilots run aground. The pattern is the same every time. Here's what kills them — and the boring discipline that gets them to production.
A meta experiment: we created our entire monthly AI update using AI tools themselves — research, writing, video, translation. Here is what we used, what worked, and what to watch.
Over the past six years, recommender systems have undergone a remarkable transformation. A technical look at data sources, modeling techniques, and where the field is heading.
AI sounds like it is reserved for tech giants, but it is transforming small businesses every day. A practical, actionable guide to get started — including the free tools that get you a long way.
Large language models like GPT-4 are levelling the playing field. Eight specific ways small firms can use LLMs to compete with much bigger players.
If AI is to genuinely democratize innovation, it needs to be easy enough for smaller businesses to use. A case for stripping complexity from the field.
Train existing staff or bring in new hires? Both strategies have merits — the right answer depends on speed, scope of change, and what you want to build for the long term.
We'll do a free 30-minute diagnostic on it. No pitch, just an honest read.