Earned Value Management, forensic scheduling, and Monte Carlo risk modeling for oil & gas pipeline and facilities construction — brought together in one disciplined methodology.
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.
Real-time tracking of Cost Performance Index (CPI) and Schedule Performance Index (SPI).
Data-driven Estimate at Completion (EAC) and Estimate to Complete (ETC) to eliminate end-of-project surprises.
All cost engineering follows Recommended Practice (RP) standards for Class 1 through Class 5 estimates.
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.
Rigorous DCMA 14-point assessments to ensure schedule logic is sound.
Utilizing Time Impact Analysis (TIA) and As-Built vs. As-Planned methodologies to defend against claims and mitigate liquidated damages.
Continuous tracking of total and free float to protect the critical path from erosion.
We replace “gut-feeling” contingency with statistical certainty. Using Monte Carlo simulations, we turn a list of risks into a roadmap of probabilities.
We provide P50, P70, and P90 confidence levels for project milestones.
Scientifically justifying budget reserves based on thousands of potential project iterations.
Identifying the “tornado” risks that have the greatest impact on your bottom line.
AI-powered project controls with data sovereignty and local processing for maximum security.
Our Project Controls are powered by McNile Sovereign AI, ensuring sensitive project data remains local and secure — a critical requirement for Saudi government and Canadian energy sector work.
AI-driven scanning of thousands of line items to find schedule logic errors or cost variances in seconds, not days.
Executive-ready summaries generated directly from live project data, with zero manual formatting.
