Automate Construction Incident Reporting for OSHA Compliance

Small construction firms rely on phone calls, text messages, and emails from the job site. Safety managers then manually transcribe this information into Procore Safety or a dedicated EHS platform like iAuditor. These platforms are good digital forms, but they are not intake systems. They cannot automatically parse a blurry photo and a garbled text from a foreman into a structured incident report. The burden of data entry remains entirely on the safety manager.

Consider this scenario: a foreman on a 15-person crew texts his project manager, "Mike slipped off a ladder, twisted his ankle. He's ok, going to urgent care. See pic." The safety manager now has to call the foreman back to get the exact time, location, witness names, and nature of the injury. This 30-minute back-and-forth happens while managing three other projects, and the delay increases the risk of forgetting key details for OSHA Form 301.

The structural problem is that Procore and iAuditor are designed as databases with form-based inputs. Their architecture assumes a person will sit at a computer and fill out predefined fields. They lack the conversational AI or computer vision capabilities to interpret unstructured data from the field. They are systems of record, not systems of capture.

The result is inconsistent and delayed reporting. Minor incidents get missed, details are lost, and the safety manager spends hours a week on administrative work instead of proactive safety training. When an OSHA recordable incident occurs, the scramble to piece together information creates compliance risk.

The engagement would start by auditing your current reporting workflow. Syntora maps every way your field team communicates incidents, from text messages and photos to voice notes. We identify the specific data points required for your OSHA 300 logs and Form 301. This audit produces a clear data flow diagram and a list of required fields for the AI to extract, which you approve before any code is written.

The core would be a Python service running on AWS Lambda, triggered by a dedicated phone number or email address. When a foreman sends a message, the service uses the Claude API to parse the text and extract key entities like name, injury type, and location. FastAPI exposes an endpoint that your project management system can call to retrieve the structured data. This serverless architecture costs less than $50 per month to run for up to 10,000 incidents.

The final system delivers a structured draft incident report directly into your existing safety software or a Supabase database within 60 seconds of receiving a field message. The safety manager receives a notification to review and approve the 90% complete report. You receive the full Python source code, a runbook for maintenance, and a simple dashboard to monitor processing accuracy and volume.