Leveraging AI to Safeguard Profits in Construction Projects

In a construction environment marked by tightening margins, securing a winning bid is just the start. Operational efficiency and financial oversight are equally critical in ensuring profitability. Contractors are finding that accurate data, interconnected systems, and enhanced financial visibility are essential tools in safeguarding their margins throughout project execution.

Profit problems often don’t appear suddenly; rather, they seep away gradually due to minor inaccuracies, overlooked billing opportunities, and unnoticed cost overruns. For instance, MAG Builders discovered that its financial data was fragmented across various platforms, making it difficult to connect accounting, project management, and reporting.

By integrating their finance and operations through NetSuite’s business system, MAG Builders achieved a consolidated view of project performance. This shift allowed management to access timely work-in-progress (WIP) reports and budget-to-actual comparisons in real time, eliminating the delays associated with monthly closings.

As Chris Booker, CFO at MAG Builders, expressed, “We used to find issues after the fact. Now we can see what’s happening as the job progresses and make decisions to correct issues before they impact the bottom line.” This proactive approach is not just a luxury; it's a necessity for contractors.

Many contractors experience profit erosion long before project closeout. Labor costs can escalate unexpectedly, and field-approved change orders might go unbilled, leading to discrepancies that financial reports don’t capture until it's too late. Teams often lack the necessary visibility to identify these issues early, as field operations, payroll, subcontractor invoices, and revenue recognition might operate on separate timelines.

AI's Role in Early Intervention

AI is increasingly being implemented by contractors to bridge gaps in data connectivity and expedite the identification of anomalies. Rather than replacing managerial expertise, AI enhances decision-making by ensuring that relevant information is available at critical moments. This process allows project managers and finance professionals to intervene proactively, potentially averting financial issues.

Lam-Wood Systems, a commercial wood supplier, faced challenges similar to MAG Builders relating to WIP reporting and cost transparency. After transitioning to NetSuite’s AI-driven cloud ERP, the company transformed its monthly WIP reporting from a time-consuming three-day task into a real-time benefit accessible to all team members.

According to James Johnson, CFO at Lam-Wood Systems, “We have better control over margins because we can see changes as they happen and act before they become a bigger issue.” For contractors, having timely insights is just as vital as having the data itself. Early detection of labor variances, unbilled change orders, and material cost fluctuations can trigger immediate corrective actions, such as staff adjustments or timely material procurement. This foresight allows contractors to maintain tighter control over their expenses and overall project viability.

Additionally, AI can alleviate workload pressures on finance teams by automating processes like invoice matching, billing verifications, and data reconciliation, focusing attention only on significant exceptions that may need further investigation. This reduction in manual task burden enables finance teams to concentrate on analyzing profit margins, predicting cash flow, and making strategic decisions.

The Importance of Integrated Systems

For contractors, synchronization among all project stakeholders is crucial. By working from a shared pool of current operational and financial data, project managers, finance leaders, and field supervisors can collectively make informed decisions while work is ongoing. For example, Austex Fence and Deck, specializing in fencing services, leverages NetSuite Field Service Management to streamline scheduling and material logistics. By relying on daily crew productivity, they optimize subcontractor scheduling and only order the immediate materials necessary.

David Lockett, CEO of Austex Fence and Deck, noted, “We’re running a more efficient operation, and we have better control over costs as the work moves.” The synergy between operational activities and financial data isn’t just beneficial; it’s necessary for maintaining competitiveness in a challenging market.

The unifying factor in these case studies is the critical integration of field operations with financial data. AI proves most effective when it processes real-time operational insights alongside financial metrics, rather than depending on outdated or incomplete information.

As profit margins continue to tighten across the construction sector, contractors face limited capacity to absorb late-discovered financial challenges. Jobs that initially appear profitable can suddenly turn unfavorable due to overlooked billings, unexpected cost overruns, or flawed assumptions in WIP evaluations.

By identifying potential risks early, AI enhances the ability of project managers, finance leaders, and field supervisors to take timely actions that preserve profitability before projects reach their completion stages.