Spending too much on AI? How CIOs and CFOs can scale AI with discipline

PwC argues that AI cost control tools alone are insufficient for competitive advantage — organizations need a new operating model built around four disciplines: upfront cost underwriting, architecture redesign, outcome-linked governance, and savings reinvestment. Token costs are falling yet AI bills are surging because volume growth and agentic workflows compound costs invisibly across planning, retrieval, reasoning, and orchestration layers that most budgets and dashboards cannot see. PwC details a framework requiring coded budget gates, mandatory routing controls, and human-oversight triggers embedded directly in agentic pipelines — not bolted on afterward. In a documented case, one global technology company applied this model to a key pipeline and cut cost per run 65–80%, tripled processing speed, and maintained output quality, effectively achieving 3–5x more AI capacity for the same budget.