The Challenge
News Corp was navigating a flood of AI vendor pitches without a coherent internal framework for evaluating, prioritizing, or governing AI investments. Different divisions were making AI decisions independently, with no shared language for assessing ROI and no mechanism to determine which pilots were actually working. Leadership needed a structured approach to AI adoption that could operate across the company's diverse and decentralized business units.
What They Built
Nicole Castillo built an enterprise AI strategy framework for News Corp — creating a shared prioritization methodology, governance structure, and ROI measurement system that enabled consistent AI evaluation and adoption tracking across diverse business units.
Nicole's engagement began with a structured diagnostic of News Corp's current AI activity across business units — cataloguing existing tools, pilots, and investments to map where AI was already in use and where governance was missing. From this baseline, she developed a shared prioritization methodology that business unit leaders could apply to evaluate new AI opportunities using consistent criteria. A governance structure was designed to provide accountability for AI investments across the decentralized organization, including escalation paths and decision rights. An ROI measurement system was built to track outcomes from AI investments in comparable terms across different business units — replacing the previous approach of each division measuring (or not measuring) value in isolation. The framework was designed for adoption without requiring all units to move at the same pace or standardize on the same tools.
Large, decentralized media and enterprise organizations running multiple AI pilots across business units without consistent governance or ROI measurement; CDOs and Chief AI Officers responsible for AI strategy across complex organizational structures.
