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CFOs want AI that pays: real metrics, not marketing demos
CFOs who master new eval frameworks will drive the next wave of AI adoption thruogh disciplined investment for strong competitive advantage.
These include time-to-completion ratios comparing pre- and post-AI implementation timelines, cost-per-transaction analyses measuring reductions in resource expenditure and labor hour reallocation metrics tracking how team members shift from manual data processing to higher-value analytical work. These reports typically include standardized metrics that track AI’s contribution to operational efficiency, customer experience, employee productivity and strategic differentiation — providing a comprehensive view of how these investments enhance shareholder value. These finance leaders work closely with technology and business teams to identify high-value use cases, establish appropriate success metrics and create financial frameworks that support responsible innovation while maintaining appropriate risk management.
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