Building a Board-Ready AI Business Case

AI initiatives are increasingly evaluated through financial accountability rather than experimentation alone. The content outlines how to structure AI investments using cost modeling, value attribution, and risk framing aligned with board expectations. It breaks down ROI components, including operational efficiency, revenue impact, and intangible benefits, while addressing common pitfalls in assumptions and measurement. It also highlights the importance of governance, phased delivery, and linking AI outcomes to business KPIs. Technology leaders should treat AI cases as investment narratives grounded in measurable outcomes and execution discipline.