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Construction Intelligence: A Dashboard That Tells a GC Where Every Dollar and Every Day Went

Key Outcome
Real-time
cost overrun detection — vs 45 days after the fact previously
Team
10 engineers
Timeline
12 weeks
Industry
Construction
01The Situation

A regional construction company — commercial and institutional projects, $200M annual revenue. Their project controls were a combination of accounting reports (accurate but 30 days old), project manager spreadsheets (current but inconsistent), and weekly status meetings where everyone brought different numbers.

02What Changed

A $15M healthcare facility project went $2.1M over budget. The overrun was visible in the accounting system — 45 days after the costs were incurred. By the time leadership intervened, the decisions that caused the overrun were 6-8 weeks in the past.

03Why The Algorithm

The CEO demanded real-time project intelligence, not historical accounting reports.

04What We Built

Construction intelligence dashboard. Real-time data aggregation from accounting (Sage), project management (Procore), scheduling (P6), and subcontractor systems. Project health scoring — every active project rated on cost performance (CPI), schedule performance (SPI), change order velocity, RFI aging, and cash flow position. Portfolio view for the CEO with drill-down to any project. Earned value analysis calculated in real time. Predictive cost-at-completion model using historical patterns and current trajectory. Cash flow forecasting across the portfolio. Alert engine — projects trending toward overrun trigger alerts when there's still time to course-correct.

05 — The Result

Real-time portfolio visibility for the first time in the company's history. Cost overrun detection moved from 45 days after the fact to real-time. The next project that started trending over budget was caught at $180K — and corrected — instead of being discovered at $2.1M. Cash flow forecasting accuracy improved to within 4% across the portfolio.

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