December 2025
By Karl Vantine, Chief Customer Officer and Rob Stockwell, General Manager, Mass Transit Railway Corporation
Construction managers face constant pressure to deliver capital projects faster and with greater certainty. They’re looking for processes and practical solutions that reduce risk, eliminate blind spots and strengthen confidence in their data and reporting. They’re looking for more control.
So what actually works in real-world conditions? And what helps project leaders sleep better at night?
Below are insights and lessons from a recent industry webinar featuring leaders with deep experience in capital project delivery.
Maintaining Project Control in Multi-Contractor Environments
Because large capital projects rely on many contractors moving in sync, seeing what’s actually happening can be difficult. Teams can’t depend solely on contractor-reported data, especially when progress measurement varies or incentives don’t always line up with the owner’s needs.
An independent, objective view of performance fills those gaps. Tools like earned value analysis, integrated master schedules and reliable cost tracking give project teams a clearer read on performance. Instead of guessing—or accepting someone else’s interpretation—they can validate what’s working, what’s slipping and where decisions need to be made.
And none of that works without clear procedures and standardized reporting. When everyone follows the same rules for progress measurement, cost submissions and forecast detail, the ambiguity disappears. Comparisons make sense. Risks surface earlier. And decisions get a whole lot easier.
Using Technology to See and Act Faster
Technology’s influence on how capital projects are managed continues to evolve. And it’s worth paying attention—using the right tools to gather, organize and share project information helps teams spot issues sooner, reduce blind spots and make decisions with greater confidence.
Automation is already doing the heavy lifting: pulling together reports, flagging bad data and spotting gaps in schedules or workflows that might otherwise be overlooked. Meanwhile, chatbots help team members follow processes correctly, giving instant answers to “How do I do this?” questions—so everyone works from the same playbook.
Rules-based AI can cut hours of manual work and make project data far more reliable. When teams aren’t buried in spreadsheets or hunting for missing details, they can focus on interpreting the data and applying it to keep projects on track.
Looking further ahead, as teams build stronger internal datasets and share performance information more consistently, AI can benchmark, predict and apply lessons learned in ways that go beyond retrospective insights. Projects can anticipate issues rather than react to them.
To be clear: AI can accelerate insight and improve foresight, but it can’t replace experienced judgment. It frees people to focus on decisions only humans can make.
Streamlining Oversight Through Integrated Controls
When capital projects bring multiple contractors together, data inconsistencies can surface quickly. Each team uses its own tools, formats and ways of explaining performance. Fragmentation becomes a real delivery risk because it compromises how costs, schedules and risks are measured.
Integrated controls are what keep that in check.
Bringing cost, schedule and risk information into a single integrated framework gives teams a clearer, comprehensive picture of reality. It cuts down on guesswork and makes it easier to spot early signs of trouble before they grow. If a schedule delay occurs, for example, an integrated view helps teams immediately see the cost impact, rather than waiting for someone to piece it together later.
However, if coding structures—such as cost codes, WBS levels or progress-measurement rules—don’t align across systems, the data won’t line up either. Teams end up fixing inconsistencies rather than managing performance. Aligning those structures early enables information to flow smoothly between disciplines.
Standardization closes the gap. Once common coding structures are in place, cost and schedule data can be integrated into consistent project views through dashboards and reports. Only then can earned value metrics be calculated accurately enough to support decision-making.
And when everyone is working from that shared source of truth, collaboration gets easier.
Getting Ahead of Uncertainty Through Proactive Planning
Strong project delivery starts long before construction begins.
Consider the design stage, where many issues originate: nailing down the initial design and requirements up front is crucial. Design managers set the first guardrails against scope creep, and early alignment helps keep budgets realistic and projects moving smoothly. Staying proactive at this stage helps teams prevent problems before they arise, rather than reacting after the fact.
Building on that early prevention, think back to the successes and mistakes of past projects. Those lessons learned only deliver value to project delivery when applied proactively. Historical cost overruns likely don’t surprise experienced project leaders, yet optimism bias and ignored experience often lead to repeated mistakes. The most effective teams talk to people who lived through past issues, understand what went wrong, how it was handled and adjust their approach before similar risks arise.
That brings us to risk allocation—a key area that requires clarity. Assigning risks to the team or party best positioned to manage them prevents cost blowouts and reduces claims, delays or scope negotiation. For example, some risks—like stakeholder engagement—may be better handled by the client rather than automatically passed to contractors. Treat risk as something to actively manage and mitigate, not simply a budget line to cover if problems occur.
Keeping People at the Center of Project Success
Even with the best technology in place, the success of a capital project still comes down to people.
It starts with having the right individuals in the right positions. We may be in the middle of a digital transformation, but many projects don’t have enough trained project controls professionals. That’s a critical challenge. Technology can only add value when people understand how their inputs connect to the broader process and feel confident using the digital tools that support delivery.
That ties directly to data interpretation. Projects generate enormous volumes of data, and automation makes it easier to assemble and analyze it. But someone still has to make sense of what that information means and challenge it when something doesn’t look or feel quite right. Humans decide what’s important, what requires action and how to balance competing priorities. Those choices determine how well a project stays on track.
Mindset is the thread that connects it all. Teams need to be willing to learn new methods, adopt new tools and adjust how they work to support integrated, data-driven delivery. Technology is only as effective as the people applying it.
Bringing It All Together
Large-scale capital projects run more smoothly when people, processes and technology are pulling in the same direction. When teams plan early, rely on integrated controls and use digital tools with intention, they cut down on surprises, manage risk with more confidence and collaborate with fewer barriers.
These were among the strongest takeaways from the webinar—practical insights and lessons from leaders who’ve spent decades navigating the realities of major capital programs.
And for organizations ready to put these ideas into practice, lifecycle cost management technology can help bring it all together. Contruent gives project teams a unified way to plan, track and manage performance so they can deliver faster, with more certainty and fewer headaches. Learn more or request a demo today.
About the Speakers