Articles
Notes from the field.
Short, practical pieces from our engineers on how AI actually gets into production, written for people who run the business, not just the ones who build the software.
- Explainer· 3 minWhat is forward deployed engineering?Forward deployed engineers build AI systems from inside your organisation, on your real data and workflows. Here is what that means, how it differs from consultants and software vendors, and why it suits regulated industries.28 Oct 2026
- Strategy· 3 minWhat 'AI-native' actually means for an enterpriseBecoming AI-native is not about buying more tools. It is about redesigning how work and decisions flow, one workflow at a time, with people firmly in charge of what matters.16 Oct 2026
- Explainer· 3 minWhat is an AI agent? A plain-English guideAn AI agent is software that works towards a goal by choosing steps and using tools. This guide explains goals, tools, memory and levels of autonomy, and where a person must still approve.2 Oct 2026
- Comparison· 3 minBuild or buy: choosing between custom AI and off-the-shelf toolsGeneric AI tools are often the right answer, and sometimes they are not. A few simple questions can tell you when to buy and when the work is specific enough to build.22 Sept 2026
- Practice· 3 minKeeping people in control: AI in regulated industriesIn regulated industries, AI is only useful if people stay in charge. Here are the practical controls that make that real: approval gates, audit trails, explainability, data residency, rollback and expert evaluation.12 Sept 2026
- Practice· 3 minYour data doesn't need to be perfect to startMany AI plans stall while organisations wait for perfect data. Here is what good enough really looks like, and how starting with one workflow helps you improve your data as you go.1 Sept 2026