Construction & Engineering

Construction & Engineering Analytics & AI for Project Controls and Risk Reduction

Key problems

Budget vs actual vs committed isn’t unified

Forecasting is late because commitments and change exposure aren’t visible in one place.

Change-order risk + late detection of cost drift

Pending COs age without escalation; small variances compound until EAC moves suddenly.

Cost forecasting + estimation variance patterns

EAC forecasting with drivers; estimate vs actual patterns to improve future bids and reduce leakage.

Governed model + integration patterns

Standard cost codes/WBS mapping, KPI definitions, data quality checks, and audit-ready reporting.

What we deliver

Project controls cockpit (cost + schedule + CO exposure)

One view for budget, actuals, committed, EAC trend, and change exposure—built for weekly action.

Safety & compliance analytics (leading indicators)

Near-miss patterns, audit completion, training compliance, and safety risk signals by project and contractor.

Cost forecasting + estimation variance patterns

EAC forecasting with drivers; estimate vs actual patterns to improve future bids and reduce leakage.

Governed model + integration patterns

Standard cost codes/WBS mapping, KPI definitions, data quality checks, and audit-ready reporting.

Deliverables

Controls data model (cost codes/WBS, schedule, commitments, COs, safety)

Cockpit dashboards (Exec / Project Controls / Finance) with exception-first design

Forecasting logic + monitoring approach (stability, overrides, drivers)

Governance pack: KPI definitions, access patterns, validation checks

Frequently Asked Questions

How does AI reduce risk in construction?

By detecting early signals—cost drift, schedule slippage, and safety leading indicators—and routing them into an action queue before issues compound.

What is BIM data integration?

Connecting BIM metadata to project controls so model elements become measurable in progress, cost, and safety context.

Can this work with our current tools?

Yes. We integrate current systems first and modernize selectively only if required for reliability or audit.

What’s a practical Pilot/MVP?

1–3 projects, standardized cost codes/WBS, a controls cockpit, and a weekly cadence with named owners.

Typical timeline?

4–12 weeks depending on system access, mapping complexity, and KPI alignment.