From AI experiments to business outcomes: How to measure what matters

Many enterprises struggle to demonstrate AI ROI because they focus on technical metrics, such as model accuracy, rather than the actual impact on end-to-end business processes. To bridge this gap, organizations should implement a framework that baselines, attributes, and monetizes improvements in workflow efficiency, such as reduced transaction costs or increased speed. Business observability tools can facilitate this transition by connecting technical telemetry directly to measurable business KPIs.