How Contractors Are Cutting Admin Hours on Every Project

Construction runs on paperwork. For every hour spent building, there's a corresponding trail of submittals, RFIs, change orders, daily reports, safety logs, and pay applications. Project managers know this, and most of them accept it as part of the job.

But the volume of documentation has been growing steadily, driven by stricter compliance requirements, more complex projects, and owners who demand better visibility into their builds. A superintendent managing a $20M project might spend two to three hours a day on documentation and coordination that doesn't directly advance the construction.

AI agents are helping construction teams reclaim some of those hours by automating the tracking, drafting, and follow-up work that keeps projects documented and on track.

Submittal Tracking and Management

On a commercial project, the submittal process involves hundreds of individual items. Each one needs to be sent to the architect or engineer for review, tracked through their review cycle, and distributed to the right subcontractor once approved.

Managing the submittal log is one of those tasks that starts simple and becomes a monster. At the beginning of the project, you're tracking a handful. By month three, you've got 200 open items in various stages of review, and the architect is three weeks behind on a batch that's holding up structural steel fabrication.

AI agents can manage the submittal log automatically. The AI tracks each submittal's status, sends reminders to reviewers when items are approaching their due date, and escalates overdue items to the project manager. When a reviewed submittal comes back, the AI updates the log and notifies the relevant subcontractor.

The project manager still makes decisions about priorities and escalations, but the tracking and reminders happen without manual effort.

RFI Management

Requests for Information follow a similar pattern. A subcontractor has a question about the drawings, the PM drafts the RFI, sends it to the architect, waits for a response, and distributes the answer. On an active project, there might be 10 to 20 RFIs in flight at any given time.

The frustrating part is the follow-up. Architects are busy, and RFIs that don't get chased tend to sit. So the PM adds "follow up on RFI #47" to their list, which already has 30 other items on it.

AI agents can automate the RFI workflow from drafting through resolution. The subcontractor sends the question, the AI formats it as a proper RFI with the relevant drawing references, the PM reviews and sends it. From there, the AI tracks the response timeline, sends reminders at intervals you set, and alerts the PM when the answer comes back.

For firms that track RFI response times (and most should), the AI can also compile metrics that show which design team members are consistently slow, giving you leverage in owner-architect-contractor meetings.

Daily Reports and Field Documentation

Daily reports are non-negotiable on most projects. Owners want them, contracts require them, and if there's ever a dispute, they're your first line of defense. But writing a good daily report takes 30 to 45 minutes at the end of a long day, and after 10 hours on site, the quality tends to suffer.

AI agents can draft daily reports based on inputs from the field. Weather data can be pulled automatically. Manpower counts can be drawn from sign-in sheets or time tracking systems. Work completed can be summarized from task updates or superintendent notes.

The superintendent reviews the draft, adds anything the AI missed, and approves it. A task that used to take 45 minutes at the end of every day now takes 10.

Over the course of a 14-month project, that's hundreds of hours saved on a single documentation task.

Change Order Administration

Change orders involve a cascade of documentation: scope descriptions, cost estimates from subcontractors, markup calculations, and formal submissions to the owner. Tracking which change orders have been proposed, approved, rejected, or are pending is critical to cash flow management.

AI agents can maintain the change order log, track approval status, send reminders for pending items, and compile the documentation package for each change order submission. When a subcontractor sends a quote for additional work, the AI can incorporate it into the draft change order and calculate the applicable markups based on your contract terms.

The estimating and negotiation still require human judgment. The assembly and tracking are automated.

Why Mid-Size GCs Benefit Most

Large general contractors have dedicated project controls departments with coordinators handling submittals, RFIs, and change orders. Small contractors on residential or light commercial work may not have enough volume to justify automation.

Mid-size GCs, running $10M to $100M in annual revenue, feel the documentation burden most acutely. They're taking on projects that generate significant paperwork, but their project teams are lean. A single PM might be running two or three projects simultaneously, and documentation is the thing that slips when time gets tight.

Maestro builds AI employees for construction teams that need better documentation without bigger project teams. Submittal tracking, RFI management, daily reports, and change order administration, all handled by AI that works inside Procore, PlanGrid, or whatever tools your team uses.

If your PMs are spending more time on paperwork than on managing the build, it's worth seeing what can be automated.

trymaestro.ai