AI investments are reshaping industries, yet many organisations struggle to deploy scarce resources effectively across multiple potential AI use cases without clear visibility into which initiatives deliver measurable value. The challenge is not a lack of AI ideas, but a lack of measurement discipline.
Deloitte's balanced scorecard framework enables leaders to measure AI ROI rigorously, learn from early experimentation, and allocate resources to the highest-impact initiatives while maintaining financial governance and compliance with evolving accounting standards. Download the detailed paper to access the step-by-step implementation playbook and accounting guidance for establishing defensible AI ROI measurement.
expect measurable returns from generative AI within one year
saw returns within 12 months
When AI governance is fragmented, the consequences land in Finance: weaker portfolio prioritisation, weaker ROI defense, and weaker capital allocation decisions.
Traditional ROI methods are not designed for AI. Performance shifts over time, causation is harder to isolate, and costs move more dynamically than in conventional technology investments.
Deloitte advocates a balanced scorecard methodology that combines financial and non-financial metrics with explicit weighting. Rather than relying on a single ROI figure or a fixed formula, organisations define the weighting that best reflects their strategic priorities and portfolio context.
Organisations define a portfolio of KPIs across financial and non-financial dimensions, then apply explicit weighting to support transparent trade-offs.