How automation is helping contractors regain control of costs and forecasts. By Gurpreet Chaggar, Associate Product Marketing Manager at Prophix

Amid growing financial pressures, contractors and engineers face evolving challenges in project finance management. Material cost volatility, project complexities, and labor shortages make budgeting more challenging to control, and accuracy is more vital than ever to keep forecasts reliable.

For example, industry research shows steel above pricing trends, and that electrical gear costs remain volatile. This indicates that financial forecasting needs to be more precise than ever before, or project leaders risk their teams being unprepared for surprises.

However, many project managers are leaning into automation to accurately manage cost data and build more reliable visibility. That shift depends on seeing costs as they move, not figures compiled weeks after the fact. AI-powered finance tools can surface budget movements as they happen, giving project leads room to adjust before purchase orders close.

Why contractors are struggling to maintain cost visibility

One of the biggest challenges in cost visibility for contractors is reliance on manual data processing, tracking, and aggregation. For example, project cost fragmentation across multiple spreadsheets and systems creates data silos, making it harder to track budgeting progress.

In addition, manual processes and fragmented silos lead to report and insight delays. The compounding result is that financial forecasts risk becoming irrelevant by the time they are produced.

For instance, consider a structural concrete and reinforcing steel package that is priced at bid, but poured in stages across several months. If rebar rates change between the bid and the mid-project pours, manual reporting may only catch the drift after purchase orders have been completed.

Labor fluctuations also affect the reliability of forecasts. Should there be a large influx of subcontractors to meet a deadline at short notice, manual cost processing risks missing this until a project is already over budget.

By 2027, it is estimated that the industry will require more than 450,000 new workers to meet demands – indicating that job market volatility will continue to trend upward and that contractors need to prioritize cost visibility.

Moreover, processes and systems rooted in manual spreadsheet data entry and tracking risk reactive action, not proactive strategy. Spreadsheets, while helpful in many ways, are not conducive to effectively managing real-time cost factors.

How automated forecasting helps protect project margins

With the right automation platform and finance-owned guardrails, contractors can transform reactive, manual forecasting into a more dynamic, continuous process. Automation can pll, analyze, and reconcile cost factors as they emerge, giving contractors and finance teams more clarity over how budgets are affected.

Teams get the most from automation when they review outputs regularly, roll integrations out in stages, and build capability as they go. Automation is also only as good as the data it is trained on, and it must be treated as a support for judgment, not a replacement.

With an effective rollout, this setup helps contractors identify cost pressures, monitor project performance in real-time, and safeguard profitability.

Cost pressure identification

Automation, coupled with machine learning, helps contractors spot potential cost spikes before critical budget decisions are made. For example, when it is trained on historic labor hours used and previous spend, automation can alert when margins are about to be reached.

It can also forecast labor hours required for specific projects, and raise alerts if labor hours approach budget capacity. Within invoices and purchases, it can identify material cost spikes that conflict with previously agreed rates. Therefore, project leaders can minimize overspend and make more measured decisions when investing in critical resources.

Real-time project performance monitoring

Data platforms with automation capabilities can aggregate multiple financial data sources into a single source of truth. This not only removes the need for extensive manual data handling tasks but also provides a clear overview of multiple orders, timesheets, and expense records at a glance.

By automatically pulling, cleaning, and aggregating data as it enters a project, contractors have real-time insights into material used and hours saved. It can be configured to alert when certain KPIs are met, or when budget allocations are exceeded. Therefore, contractors can pivot projects in a specific direction sooner, when it will be most impactful. For instance, they may choose to hire more support if they have surplus hours.

Proactive profitability safeguarding

Automation further supports contractors by moving forecasting to continuous “what-ifs” developed on demand, away from static, backward-looking report development. By scrutinizing multiple financial data points simultaneously, automation and AI enable contractors and managers to create ad hoc scenarios and reports based on small adjustments or hypothetical events (e.g., rebar costs increasing mid-project pour).

Instead of, for example, waiting days or weeks to discover the impact of additional material purchases on a rolling budget, answers are available within hours, if not on demand. The result is that contractors understand potential profitability impacts when they are relevant and can act faster to protect their bottom lines.

In the US, net profit margins are among the highest worldwide at an average of ten to 12 percent. Smaller companies are tracking lower at around eight percent, but as Buildern’s research observes, companies “leveraging digital project management and cost-tracking platforms” are closing this gap.

Building more predictable and profitable construction operations

By moving manual project cost management away from spreadsheets and disconnected systems toward a unified, automation-augmented model, construction operations speed up decision-making and boost contractor productivity.

What’s more, they are boosting cost visibility, strengthening project controls, protecting margins, and improving resource allocation. Access to continuous, real-time data means project owners have constant insight into how materials and equipment are used, where costs are overrunning, and whether or not compliance standards are being met.

Additionally, data tracking offers more reliability than manual spreadsheet management, allowing forecasts to account for cost deviations with greater accuracy. Proactive financial data comparison can even support bids that are more likely to be accepted. A further impact is more confident decision-making, for example, when purchasing additional material or extending budget limits.

Construction firms are already aware of automation and AI’s productivity and efficiency benefits, with a reported 60 percent of companies already using it within their operations, and larger companies noted as being the main adopters. Smaller firms, and those in the remaining 40 percent, risk the competitive gap widening by waiting to adopt.

Conclusion

Timely, proactive financial visibility is no longer a function that purely serves finance departments. When used as part of a project management toolkit, contractors can deliver infrastructure projects with greater confidence and certainty. The result is fewer budget overruns, fewer labor surprises, and tighter inventory control, with teams acting on current numbers instead of last month’s.

Gurpreet Chaggar
www.prophix.com
Gurpreet Chaggar is an Associate Marketing Manager at Prophix. She joined the company in 2019 as an implementation consultant, where she developed a deep understanding of Prophix’s solutions and the impact Prophix has on helping clients optimize business outcomes.