# Commercial Builder Reduces Cost Overruns 67% with AI Schedule Optimization: A Success Story
Metropolitan Construction Group faced persistent cost overruns—a common problem that, according to the McKinsey Global Institute , affects 80% of large construction projects. Results after transformation: 67% reduction in cost overruns, 28% schedule improvement, 12 million dollars annual savings.
The Client
Metropolitan: 850M dollars revenue, 25-35 active projects, 25-75M average project size, 420 employees across 8 US states plus UK.
The Challenge
72% projects exceeding budget, 8.3% average overrun (55M annually), 47 days average delay (18M annually), data across 12+ systems. Root cause: reactive rather than predictive management.
The Solution
Unified data platform integrating Procore, Primavera, Viewpoint, PlanGrid. Predictive analytics for schedule forecasting and risk identification. Intelligence dashboards and automated workflows.
Implementation
Phase 1 (Months 1-4): Data integration, baseline with 5 years data. 1.2M investment. Phase 2 (Months 5-8): 3-project pilot achieving 87% schedule accuracy, 91% cost accuracy. Phase 3 (Months 9-14): Portfolio rollout with training. Phase 4 (Months 15-18): Custom models and optimization.
Results
Cost overruns: 8.3% to 2.7% (67% reduction). On-time completion: 34% to 71%. Annual benefit: 52.3M dollars. ROI: 4,250%.
Success Factors
Executive commitment, data quality investment, change management, phased approach, integration focus.
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