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In our previous article, AI Literacy: The Foundation of AI Capability, we set out why AI literacy matters. The next question is the practical one: what do we actually mean by it? At Dixon AI, we define AI capability as the combination of talent, purpose, AI literacy, AI tools and data infrastructure. Each matters, and each strengthens the others. An organisation can invest in tools and improve its data environment, but if its people do not understand how AI works, where it fi

In our work with more than two hundred organisations across sectors and regions, the same set of questions comes up again and again. How do we get a return on investment from AI? How do we introduce AI into the business without creating unnecessary risk? How do we train our people so that AI actually improves how work gets done? These questions surface consistently in boardrooms, leadership teams and transformation programmes. They are sensible questions, but they point to

Glenveagh partnered with Dixon AI to deliver a GEFIE 4 AI Leadership Strategy Day, bringing senior stakeholders together to align AI initiatives with core business priorities. Moving beyond early experimentation, the session focused on establishing a clear strategic direction for AI within the construction environment. Through structured discussions and leadership engagement, the organisation developed a shared understanding of where AI can deliver value and how to progress t