Resources
Plain-English thinking on AI agents, machine learning, data science and BI — written for the teams doing the work, not the hype cycle.
Machine Learning · Guide
Every business runs on a few numbers that tick along quietly — until one of them stops. Here is how a simple model catches the odd day before it costs you, with the maths in plain English and the application close to home.
12 June 2026
Agentic AI · Perspective
Fast prototypes can be useful, but a business system needs production judgement. Here is what to check before trusting a vibe-coded solution with customers, revenue or data.
11 June 2026
Agentic AI · Guide
AI agents are software that can plan, act and check their own work. Here’s what that genuinely unlocks for small teams — and what it doesn’t.
2 June 2026
Agentic AI · Perspective
Autonomy is earned, not assumed. How we scope, sandbox and audit AI agents so they stay accountable to the people they work for.
12 May 2026
Data Science · Guide
Before you reach for AI, two classic techniques — demand forecasting and customer segmentation — usually return the most value per hour invested.
17 Mar 2026
Business Intelligence · Perspective
If you can’t see your numbers today, automation just makes mistakes faster. Good business intelligence is the foundation every AI project stands on.
24 Feb 2026
Business Intelligence · Guide
A plain-English audit you can run in an afternoon: where your data lives, who owns it, and what to fix before automating anything.
3 Feb 2026
Machine Learning · Article
LLMs are remarkable, but for forecasting, scoring and classification, decades-old machine learning is often cheaper, faster and more accurate. Here’s how to tell which job needs which tool.
21 Apr 2026