Advanced Project Controls & Strategic Oversight
Integrated Cost Engineering & EVM
We move beyond basic bookkeeping by implementing Earned Value Management (EVM). By bridging the gap between field progress and financial reporting, we provide stakeholders with a 3D view of project health.
Performance Metrics
Real-time tracking of Cost Performance Index (CPI) and Schedule Performance Index (SPI).
Predictive Analytics
Data-driven Estimate at Completion (EAC) and Estimate to Complete (ETC) to eliminate 'end-of-project' financial surprises.
AACE Alignment
All cost engineering follows Recommended Practice (RP) standards for Class 1 through Class 5 estimates.
Forensic Scheduling & CPM Analysis
Time is the most expensive resource on a megaproject. We utilize the Critical Path Method (CPM) to manage the pulse of infrastructure and energy developments.
Schedule Health Checks
Rigorous DCMA 14-point assessments to ensure schedule logic is sound.
Forensic Delay Analysis
Utilizing Time Impact Analysis (TIA) and 'As-Built vs. As-Planned' methodologies to defend against claims and mitigate liquidated damages.
Resource Leveling
Optimizing manpower and equipment curves to prevent 'peaks and valleys' that drive up costs.
Quantitative Risk Mitigation
We replace 'gut feeling' contingency with statistical certainty. Using Monte Carlo Simulations, we turn a list of risks into a roadmap of probabilities.
Probabilistic Completion
We provide P50, P70, and P90 confidence levels for project milestones.
Contingency Sizing
Scientifically justifying budget reserves based on thousands of potential project iterations.
Sensitivity Analysis
Identifying the 'Tornado' risks that have the greatest impact on your bottom line.
McNile Sovereign AI Integration
AI-powered project controls with data sovereignty and local processing for maximum security.
Data Sovereignty
Our Project Controls are powered by McNile Sovereign AI, ensuring that sensitive project data remains local and secure—a critical requirement for Saudi government and Canadian energy sectors.
Automated Anomaly Detection
AI-driven scanning of thousands of line items to find schedule logic errors or cost variances in seconds, not days.