AI project management for general contractors: an in-house assistant for schedules, specs, submittals and RFIs
Rogers-O'Brien Construction
What they did with AI
Rogers-O'Brien Construction, a third-generation family-owned Texas general contractor, built its own AI assistant, Compass, connected to Procore, its scheduling and estimating platforms, its data warehouse, Microsoft 365 and its internal playbook, so employees can ask about a project, spec, schedule, trade partner or policy in one place. In its first year RO says Compass answered more than 350,000 questions, about 705 people use it in a typical month and nearly a third of the company uses it daily, with more than 25,000 spec searches this year. A field director used it to turn conceptual information into a planning-level CPM schedule and compare two options (the analysis indicated reusing an existing building could save five to six months). A quality manager uses it to find which spec section applies to a submittal and build a task list from submittals and RFIs out of about 80 emails a day. A preconstruction team reconciled a healthcare project's budget against the estimate in minutes instead of an afternoon, and RO says a schedule narrative that took a Friday afternoon can now take 15 minutes. Superintendents can now ask questions aloud through Compass Voice. Figures are company-reported.
Related use cases
AI permit research, job-site daily logs and change-order scans at an Alabama builder-remodeler
Old Number One Customs (Jake Bartol, Auburn, AL)
Jake Bartol, owner of Old Number One Customs, a licensed residential builder and remodeler in Auburn, Alabama, describes the AI running on every active project. An AI notetaker on site turns conversations into daily logs that sync to project management. A daily scan of client communications flags possible scope creep, and within 24 hours the client gets a written, priced change order to approve or decline. AI permit research pulls county and city code requirements and overlays such as historic districts, Lake Martin shoreline rules and FEMA flood zones, which he then confirms with the permit office. AI also gives tier-based starting estimates from the site's project configurator and drafts invoices, change orders and emails. He says AI handles the information work that used to take 40% of his time.
AI agents for a roofing back office: invoices, supplements and material orders at First National Roofing
First National Roofing
Adam Lynn of First National Roofing, a roofer for 17 years who says he is "not a tech guy," described in a Contractors Cloud webinar recap how he runs AI agents connected to his roofing CRM through its MCP server. Per the vendor's write-up, an agent with its own email address splits batch supplier-invoice PDFs (about an hour of manual work per batch), files each invoice to the right project, notifies the office associate and now also enters the expenses. EagleView reports are routed to an agent for automatic upload, public adjuster emails are read and logged to the project, a signed contract triggers project creation and document upload, and paid leads produce a morning status report. Another agent drafts supplements from the EagleView report, the adjuster's estimate and Xactimate pricing, and drafts material orders using his ordering standards. Lynn says his learning curve was a couple of days, a human still reviews the work, and no one was laid off; he is also setting up an alert for jobs nearing the 90-day lien-filing deadline in Atlanta. The account is a vendor-published webinar recap (Contractors Cloud's own demo used Claude over MCP); no hard before-and-after figures beyond the invoice-batch time are given.
AI agent for remodeling project management: Nash Build's super talks to schedules, selections and subs
Nash Build
Qualified Remodeler profiled Milan Vladic, Executive Superintendent at Nashville-based Nash Build, who built an AI agent connected to the company's email, schedules, Slack and project-management software. Field staff can ask it what tile or trim finish was selected for a job, and each project's Slack channel gives it the context of which job is being discussed. The article says it can email painters room-by-room finish schedules, send subcontractors advance notice before their start date, check weather against project schedules to flag possible delays, and summarize long email chains and past project decisions. When someone builds an estimate with the agent, it can write up the steps as a reusable "estimating skill." The article gives no time or dollar results, does not name the AI model behind Nash Build's agent, and notes that outputs still need human review. It also profiles North Shore Masonry near Chicago, whose COO Zac O'Hara says field staff dump walkaround transcripts and photos into AI to produce bid requests in the company's format, with agents limited to drafting emails rather than sending them.