Why Most RAG Implementations Underperform is an area where practice is evolving quickly and established playbooks are still emerging. This article offers a point of view rather than a checklist, drawing on patterns observed across different organisations adopting AI.
It explores how this theme fits into broader shifts in architecture, operating models and ways of working, and suggests a set of principles that can guide decision-making when precedents are limited.
The aim is not to predict a single future, but to give leaders and practitioners a clearer mental model of the forces at play, and the choices that are likely to matter most over the next few planning cycles.
Used thoughtfully, these ideas can help organisations navigate noise, avoid short-termism, and place their AI efforts in a wider strategic and architectural context.