AI construction safety software: voice pre-task plans and photo hazard detection for every foreman
Lee Construction Group
What they did with AI
Lee Construction Group, a fifth-generation family-owned contractor in Charlottesville, Virginia with 175+ employees across concrete, metal framing and drywall, waterproofing and facilities divisions, had safety paperwork split between paper and a project management system used mostly for storage. It moved its safety program to Field1st: supervisors complete daily pre-task safety forms by voice (Voice1st), AI analyzes jobsite photos to flag hazards and suggest controls, and an in-app AI safety agent answers questions with guidance aligned to OSHA and company policy, with dashboards for leadership. Field1st reports that within the first several months 100% of supervisors were using it for daily pre-task planning, with faster documentation and better hazard closeout. Shelomith Gonzalez, VP of Strategic Operations, is quoted saying supervisors use it daily "because talking through a pre-task form is faster than filling one out." Results are vendor-published and not independently audited.
Results above are as reported by the vendor or company in the source and haven't been independently audited by this site. Listing a tool is not an endorsement, and nobody paid for this entry.
Related use cases
AI submittals and a field tech assistant for electrical contractors: same-day submittals, answers from manuals
Intrepid Electronic Systems (Crockett, CA)
Intrepid Electronic Systems, a fire alarm and electrical contractor in Crockett, California (Bay Area), wanted to deliver submittals the same day so general contractors could hold tight schedules. Instead of searching documents and copying and pasting each item by hand, the team runs submittals through AI to extract, organize and format the data. For the field, it built a retrieval-augmented generation (RAG) assistant that technicians reach from their phones, even with weak service. It is trained on hundreds of manufacturers' fire alarm manuals plus transcribed recordings of past meetings, so it also carries tips, lessons learned and installation methods. Each answer links to where the information came from so the tech can verify it, which the company uses to guard against made-up answers. The AI roadmap is run by an AI construction coordinator who started as a high school intern. The company also automates fire alarm riser diagrams from its Revit models (a scripted workflow, not described as AI) and plans to add machine learning to prepopulate devices. Reported in Electrical Contractor magazine; no figures given, and the AI tools aren't named.
AI construction safety reporting by text: EllisDon's AI Safety Assistant and auto-written toolbox talks
EllisDon
EllisDon, a large general contractor, gave crews on four sites a named AI Safety Assistant from Crewscope with its own phone number and email. Workers text a photo or voice note, the AI logs and classifies it by hazard type, routes it to the right trade by text and tracks it to close-out, with the site team staying in control of what goes on the project record. Crewscope's case study says crews logged about 556 field observations from January to July 2026, 99.5% of them submitted directly by workers, with roughly three positive observations for every problem flagged and most issues closed in under a day. The AI also surfaced a blind spot (electrical hazards were barely reported) and turned positive observations from the site into bespoke toolbox talks, sent by text with a follow-up for a signed attendance list. EllisDon's Doug Van Moorsel, Regional Director of Health, Safety and Environment, is quoted in the case study. This is a vendor-published case study and the figures are Crewscope's; the PDF itself shows both 556 and 566 for the observation count.
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.