A New Path Forward for the Construction Industry

Construction AI is No Longer Optional.

AI is going to transform construction projects. Large parts of project management will happen without a person in the loop, at a level of quality previously impossible.

Industry has no choice but to lean into this uncomfortable reality. Industries that ignore technology opportunities inevitably find themselves disrupted and damaged. Construction can no more ignore AI than US manufacturing could ignore international competition.

AEC Isn't Seeing Enough ROI.

Walk onto almost any jobsite in 2026 and AI transformation seems far away.

PMs love AI. It drafts their emails, summarizes their specs, saves them time.

But ask whether their projects are going better, and the answer changes. Are we building better buildings? Do we have faster schedules? Less rework? Better relationships? Do construction managers work fewer hours?

Most people we talk to would have to say "no." AI is solving 30-minute problems, but broader, project problems are harder to tackle.

Nobody in Construction Was Hired to Do AI Transformation.

Why the gap? Project transformation takes a lot of unglamorous work, and almost nobody is doing it. Contractors must define project tasks, then reinvent them. Structure their data and keep it current. Choose the tools, then re-choose them as the models change every quarter. Train the people (and teach the AI). Catch every edge case and own every failure.

This work isn't getting done because there's nobody in the ecosystem accountable to doing it.

• A company's ops/innovation leaders are removed from the details of projects. They can influence the strategy of a company, but not the details of implementation.
• A project team is only responsibility to the job. When millions of dollars are on the table, a PM can only change process and adopt technology as far as it is convenient for her.
• We respect the work of construction software vendors. But they are not responsible for project success, and their incentives do not align with those of the project or those of the contractor.
• Foundation model companies build models. Whether those models make a contractor money is not their problem.

The result is that AI transformation in construction today looks like a construction project with no accountable PM: pockets of success, many people with good intentions, and a miscoordinated technology landscape.

Roger is the Accountable Party.

We make AI work for construction.

Rather than selling software, an AI model, or a philosophy, Roger sells project outcomes. Document drafts don't count. Our metrics include "submittals in the architect's court less than 48 hours after receipt, with 15% R&R rate" or "ready-to-execute contracts in two weeks."

If we miss an outcome, or if our client is unhappy with us at any time, we don't bill.

Those outcomes are impossible without AI transformation, so committing to them puts all the hard work under Roger's roof. We reinvent the tasks ourselves, so GCs don't have to change their process. We structure project data and keep it current. We rebuild our systems as the models change. We train our team and teach the AI. We check everything for errors, and when a system fails, our in-house project managers do whatever it takes to deliver.

Construction's Best Path is Building the Accountable Party

We've worked on $10B of construction in the last 18 months and posted profitable quarters. And the future is bright – every time we rebuild a workflow, we find new ways to move faster or deliver more value on the project. We are on a flywheel with no end in sight. One partner, an ENR top 200 multifamily builder, put it this way: "We believe our partnership with Roger has put us on a path to becoming the premier multifamily builder in our city."

We're emphasizing our success because, even if they don't hire us, we want every GC to build the accountable party. We will advise any GC on how to do it internally, free-of-charge.

But, for contractors most committed to transformation, we accelerate the process:

• We know how to manage process change.
• We know how to commit to outcomes.
• We've hired the software engineers.
• We give AI value back to the industry – if AI makes us twice as fast, our partners pay half as much. Our earliest submittal partner pays 80% less per submittal than when they started.

The Future of the Project Manager.

Make no mistake – the accountable party disrupts the project manager's job, and we won't pretend otherwise.

But we also believe our work makes the project manager more important than ever. We want to be precise about the project manager's value.

Today, project management is three jobs sharing one title.

• Putting the right documents in the right places. Signing the right contracts.
• Making sure owners, subs, and design do what the project needs. Following up.
• Seeing project risk early, then mitigating it. Adding value.

Some say that, as AI automates the first job, anyone who isn't driving that AI becomes obsolete.

We reject this perspective. The risk and relationship management left undone on today's projects could probably occupy the entire construction management profession by itself.

Today, trades and designers make reasonable-but-uncoordinated decisions that don't get caught until install. Quality issues get discovered by the owner. Countless long-lead items are released too late. A trade partner falling behind isn't noticed until after the schedule has slipped. Junior CMs don't get trained, because nobody has time.

These aren't problems AI can fix. They're human problems that only a PM with time and space can solve. Technology is coming for the documents. But PMs will be more in demand than ever before.