Deploying generative AI involves a chain of interconnected decisions, and getting any one of them wrong is expensive. Organisations know the outcome they want a chatbot, a document assistant, an automated workflow but lack the expertise to translate that into the right model and infrastructure. Meanwhile, regulations like the EU AI Act are forcing organisations to take direct responsibility for how their AI behaves and what data it touches, making third-party API dependencies a governance liability. Without specialists spanning both AI and cloud infrastructure, companies resort to guesswork and costly trial-and-error. The result is wasted spend in some cases over €30,000 per year on a single workload missed timelines, and AI initiatives that either stall or introduce regulatory exposure the organisation is unprepared for.