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AI Margin Intelligence for Professional Services: Improving Forecast Accuracy Across Delivery Portfolios
Professional services firms often struggle to forecast margin accurately across complex delivery portfolios because labor utilization, scope volatility, subcontractor costs, billing leakage, and revenue timing rarely move in sync. This article explains how AI margin intelligence combines predictive analytics, operational intelligence, workflow orchestration, and governed enterprise data to improve forecast accuracy, protect delivery economics, and support better executive decisions across projects, programs, and portfolios.