Digitalizing the Hard Hat: How Hensel Phelps Scaled AI-Driven Progress Tracking

In the high-stakes world of commercial construction, the margin for error is razor-thin. For decades, the industry has relied on manual, analog methods to track jobsite progress—a tedious process involving thousands of disparate photos, inconsistent naming conventions, and the persistent risk of human error. For Thai Nguyen, Director of Innovation at Diverge, the investment arm of the renowned construction firm Hensel Phelps, this was not just a bureaucratic nuisance; it was a fundamental inefficiency hindering project delivery.

Today, however, the landscape for Hensel Phelps is changing. Following a successful pilot program and a subsequent enterprise-wide rollout, the firm has turned to Track3D, a machine learning-based platform that automates visual data capture and progress monitoring. This shift is not merely a technological upgrade; it represents a cultural pivot toward data-informed decision-making. With documented savings in the hundreds of thousands of dollars and the elimination of thousands of hours of manual coordination, the partnership between Hensel Phelps and Track3D offers a blueprint for how large-scale contractors can successfully integrate artificial intelligence into the field.


The Genesis of a Digital Transformation

Thai Nguyen’s journey toward digital transformation began with personal frustration. Before the implementation of sophisticated software, he managed the deluge of jobsite imagery himself. The process was fragmented: various teams would snap photos, save them to disparate folders on local servers, and hope that someone had applied a readable timestamp or project identifier.

"I was in charge of progress photos," Nguyen recalls. "That meant creating folders on the file server. Everyone who went out to the jobsite took a photo, and they had to be in a certain naming convention. But it was rare that people actually followed it. You would go into those folders every day—millions of files with really no common standardization. It was incredibly hard to access that information in real time."

In 2023, Hensel Phelps identified an opportunity to solve this systemic bottleneck. They initiated a pilot project with Track3D at a site in Denver. At the time, Track3D was a lean startup with only eight employees, a stark contrast to the massive scale of Hensel Phelps. The contractor’s strategy was simple yet rigorous: embed the developers within the reality of the construction site. By forcing a "field-first, field-driven" mentality, Hensel Phelps ensured that the software was built to accommodate the chaotic, high-pressure environment of a jobsite rather than forcing the field staff to accommodate the software.


Chronology of Adoption: From Pilot to Enterprise

The scaling of the partnership was organic but highly structured. It began in a single region, proving the concept on a small scale before gradually expanding the footprint.

  • 2023 (Phase I): Hensel Phelps launches the initial pilot with Track3D in Denver. The focus is on basic capture and cloud-based organization.
  • Late 2023 (Phase II): Success in Denver leads to expansion into secondary regions. The development team begins weekly feedback loops with Hensel Phelps’ field staff to identify bugs and UI friction points.
  • 2024–2025 (Scaling): The tool is deployed across ten distinct regions, eventually reaching high-profile, complex projects like the $300 million Courtyard 3 Connector project at San Francisco International Airport (SFO).
  • 2026 (Institutionalization): Following verified performance metrics—including massive labor savings and error prevention—Hensel Phelps signs an enterprise-wide agreement to implement Track3D across 200 active projects.

The growth was not accidental. Nguyen utilized administrative dashboards to track KPIs, specifically measuring "walks per project per day." This provided quantitative proof of usage and allowed leadership to identify regions where adoption was lagging, ensuring that the rollout remained consistent across the entire organization.


Supporting Data: The ROI of Automation

The numbers behind the Hensel Phelps-Track3D integration provide a compelling argument for the ROI of construction technology. According to recent disclosures, the partnership has delivered:

  1. 3,000 Hours Saved: By automating the organization and indexing of jobsite media, the company eliminated roughly 3,000 hours of manual coordination—time that project managers and engineers can now dedicate to higher-value tasks like safety management and quality control.
  2. Rework Mitigation: The platform successfully prevented three major reworks. In the context of large-scale infrastructure, a single rework can cost tens of thousands of dollars and trigger a cascade of schedule delays.
  3. $342,000 in Verified Labor Savings: Beyond the efficiency of the software itself, the reduction in labor hours spent chasing information resulted in a hard-dollar savings of $342,000.

These figures illustrate the "value of visibility." When project managers can verify the status of a floor or a utility installation in real time through a 360-degree capture, they can identify discrepancies between the BIM model and the as-built condition before the concrete is poured or the drywall is closed up.


Field-First Development: A Collaborative Approach

One of the most notable aspects of this partnership is the feedback mechanism. In many technology adoptions, software providers push updates from a remote office, often ignoring the practical realities of the field. Track3D flipped this script.

How project-tracking tech saved Hensel Phelps $342K on SFO project

"The Track3D team had meetings every Friday to discuss," Nguyen explains. "They’d say, ‘Hey, these are some of the things that we saw this week with the product—is this a user error or a software glitch?’"

This iterative process allowed the product to evolve from a basic file-management tool into a sophisticated machine-learning engine. Because the software was designed to be intuitive—requiring no "master’s degree in software" to operate—the barrier to entry for field personnel remained low. This ease of use was critical to overcoming the inevitable pushback from teams accustomed to traditional methods.


Implications for the Construction Industry

The success of the Hensel Phelps and Track3D partnership signals a broader trend in the construction sector: the shift from "digital documentation" to "automated intelligence."

1. Addressing the Labor Shortage

As the industry faces a chronic shortage of skilled labor, the mandate to "do more with less" is no longer a corporate cliché; it is a survival strategy. Automating progress tracking allows firms to maximize the productivity of the existing workforce. When a field engineer can walk a site in minutes—capturing 360-degree data that is automatically organized—they are not just saving time; they are increasing the accuracy of their reporting.

2. The Death of the "Siloed Data" Era

Historically, construction data has lived in silos. Field photos were separate from BIM, which were separate from scheduling software. By integrating visual data into a centralized, searchable platform, Hensel Phelps has created a "single source of truth." This allows for real-time decision-making, where a superintendent can look at a digital twin or a 360-degree walk-through to confirm progress without needing to physically travel to a remote corner of the jobsite.

3. Culture Over Code

Perhaps the most significant takeaway from the Hensel Phelps case is the importance of cultural buy-in. Technology, no matter how advanced, fails if it is not adopted by the people on the ground. By engaging the field early, establishing best practices, and ensuring the software was actually usable, Hensel Phelps created a playbook for successful implementation.

"Obviously, there had to be some best practices instilled by the project leadership," says Nguyen. "But what we realized once we got it to our people, it was very easy to use and very intuitive."

Future Outlook

As Hensel Phelps moves toward the full-scale deployment of Track3D across 200 projects, the company is positioning itself at the forefront of the ConTech revolution. The transition from manual folder-sorting to AI-powered visual tracking is not just a change in workflow; it is a testament to the fact that, in the modern construction industry, the most valuable tool on the jobsite may eventually be the one that provides the most clarity.

For other firms looking to follow this path, the message is clear: Start small, prioritize the user experience of the field staff, and ensure that your technology partners are willing to listen to the feedback coming directly from the dust and noise of the construction site.

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