Operationalising AI

Most organisations have already decided to adopt AI. The critical question is whether they're building it correctly. Design decisions that will separate lasting competitive advantage from costly failure. Operationalising AI is written for senior leaders accountable for getting this right. It addresses three layers that determine success or failure: the data foundations AI cannot function without, the governance and operating models that separate prototypes from production systems, and the adoption strategies that turn deployment into genuine capability. Practical, direct, and free from hype, this book gives you the frameworks to make critical decisions before they become operational risks you're forced to remediate. The tools work. The implementations are failing. Success depends on how deliberately you operationalise AI and the commitment you make to shift your organisation's ways of working.