As AI reshapes the future of work, organizations are under pressure to understand not only where AI can create value, but how it will affect their workforce. In this case study, TVH shares how it combined leading research, AI models, and internal job architecture to assess the impact of AI on white-collar roles and build a pioneering blueprint for workforce planning. By mapping roles and employees on a matrix that measures AI exposure alongside human complementarity, TVH created a data-driven approach to evaluating changing skill requirements, identifying opportunities for upskilling, and guiding role evolution. Whether you are trying to optimize your current talent pool or justify your next major AI line item, this case study offers a masterclass in turning AI disruption into a measurable talent strategy and sustainable competitive advantage.