In today’s margin squeeze, a winning bid is only half the battle. Operational discipline matters just as much as field execution. Data accuracy, connected systems, and financial visibility give contractors the insight they need to protect margins while work is still in progress.
When visibility breaks down, profit rarely disappears all at once. It leaks away through small variances, missed billing opportunities, and cost overruns that often go unnoticed.
MAG Builders faced this problem directly. The company's numbers were spread across multiple systems, leaving accounting, project management, and reporting disconnected.
To gain a clearer view of project performance, MAG Builders consolidated its finances and operations on NetSuite’s integrated business system, and leadership now has a unified view of project performance. With work-in-progress (WIP) reporting and budget-versus-actual tracking in one place, the company no longer has to wait until month-end close to see how projects are tracking.
“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 it impacts the bottom line,” said Chris Booker, CFO at MAG Builders.
That shift points to a broader issue for contractors. Profit erosion usually starts before closeout. Labor can run ahead of estimates. A field-approved change order can miss billing. Costs can hit the books before project reports catch up with work in the field.
Many teams lack the visibility to detect those issues early. Field activity, payroll, subcontractor billing, inventory, and revenue recognition often move on different cycles. By the time financial reports reveal a problem, the opportunity to correct it has often passed.
AI helps teams act earlier
Increasingly, contractors are closing that gap by connecting project and financial data and using AI to identify exceptions sooner. Rather than replacing human judgment, AI helps surface the right information at the right time, enabling project managers and finance leaders to intervene while corrective action is still possible.
Lam-Wood Systems, a commercial wood supplier, faced a related challenge around work-in-progress reporting and cost visibility. After moving to NetSuite’s AI-powered cloud ERP, the company’s monthly WIP reports, which once took up to three days to develop, became available in real time for all teams.
“We have better control over margins because we can see changes as they happen and act before they become a bigger issue,” said James Johnson, CFO at Lam-Wood Systems.
For contractors operating with tight margins, timing is as valuable as insight. A labor variance discovered midway through a project can prompt staffing adjustments. An unbilled change order can be corrected before closeout. Material cost trends can influence purchasing or scheduling decisions. Early visibility gives contractors more room to protect margins and make smarter cost decisions.
AI can further take the pressure off finance teams by automating invoice matching, billing checks, and reconciliation, and flagging only the exceptions that need follow-up. With less manual workflows, finance teams can spend more time analyzing margins, forecasting cash flow, and supporting better business decisions.
Early warnings only matter if teams can act on them
Connected systems give project managers, finance leaders, and field supervisors the same view of each job. When everyone is working from current operational and financial data, teams can make decisions while work is still underway.
Austex Fence and Deck, an outdoor service provider specializing in fencing, uses NetSuite Field Service Management to coordinate field scheduling and material planning. The company uses daily crew output to coordinate subcontractor schedules and order only the materials needed for the next day's work.
David Lockett, owner and CEO of Austex Fence and Deck, said the change has helped the company manage costs more closely as work moves.
“We’re running a more efficient operation, and we have better control over costs as the work moves,” Lockett said.
The common thread across these examples is the connection between field operations and financial data. AI delivers the greatest value when it analyzes current operational and financial information together rather than relying on outdated or incomplete reports.
As cost pressures continue to tighten across the construction industry, there is less room to absorb surprises that are uncovered late in a project. A job may appear profitable until final reconciliation exposes missed billing, cost overruns, or inaccurate WIP assumptions.
By highlighting emerging risks earlier, AI gives project managers, finance leaders, and field supervisors more time to respond—helping contractors protect profitability before projects reach closeout.
