Project managers spend a large part of the week writing, tracking, and chasing. These three AI workflows take the repetitive parts off their plate.
Ask a commercial project manager where their week goes and the answer is rarely “managing the project.” It is writing RFIs, logging submittals, chasing responses, and turning meetings into minutes. That work matters, but most of it follows a pattern — which makes it a good fit for AI workflows.
RFIs
The slow part of an RFI is rarely the question. It is writing it clearly, attaching the right references, and logging it. With an AI workflow, a superintendent sends a photo and a short note from the field. AI drafts the RFI with the issue, the drawing or spec reference, and a suggested resolution if one is obvious.
The project manager reviews, edits, and sends it through your existing system. AI also tracks open RFIs and flags the ones nearing their response deadline.
Submittals
Submittal logs fall behind when everyone is busy. AI can read the spec sections, build an initial submittal register, and track which items are outstanding, returned, or need resubmission. It drafts reminders to subcontractors and vendors before items hold up procurement.
Approval decisions stay with your project team and the design professionals. AI just keeps the list current.
Meeting minutes
OAC, coordination, and subcontractor meetings generate action items that get lost when minutes go out late. With permission from attendees, the meeting is recorded, and AI drafts minutes organized by topic with action items, owners, and due dates. The PM approves before distribution, and open items carry forward automatically to the next agenda.
What PMs gain
The goal is not fewer project managers. It is project managers who spend more time on schedule, cost, quality, and relationships — and less time typing. The exact time saved depends on project size and volume, which is why we measure it on your jobs before and after.
