AI readiness refers to an organisation’s ability to effectively adopt, integrate, and scale artificial intelligence within its operations. It extends beyond experimentation with tools and requires a structured understanding of data, systems, people, and strategic intent. Many organisations do not struggle with access to AI technologies. The challenge lies in the underlying conditions required to deploy them successfully. Fragmented data, unclear ownership, and the absence of

Large language models have made AI more accessible than ever. Yet, despite widespread adoption, many organisations struggle to get consistent, high quality outputs. The issue is often framed as a “prompting problem”. In reality, most poor outputs are not caused by weak phrasing, but by unclear intent, insufficient context, and poorly defined tasks. Effective prompting is not about clever wording. It is about structuring information in a way that allows the model to produce us