Automate Safety Compliance Records for Construction Audits

Small to mid-sized construction firms often use project management software like Procore, Raken, or Fieldwire. These tools are excellent for tracking project progress and storing documents. Their safety modules, however, typically function as simple checklists; they confirm a form was submitted, not that the content is correct or complete. A Procore form can show a JSA was uploaded but cannot flag that the form lists three hazards with zero mitigation steps.

Here is a common scenario. A 25-person general contractor's superintendent uploads 5-10 daily reports, photos, and toolbox talk PDFs to Raken from the job site. Back in the office, the project manager spends 30 minutes per project, per day, opening each file to manually verify signatures, check that all crew members are listed, and ensure the safety content is adequate. Before an OSHA or insurance audit, this process balloons into 2-3 full days of pulling reports and praying nothing was missed.

The structural problem is that these platforms are built as systems of record, not systems of intelligence. Their architecture is designed for storing files, not for understanding the content inside them. They lack the native AI capabilities to read a signature from a photo, parse a handwritten hazard description, or cross-reference an employee's name against a certified training roster. The critical compliance data is locked inside PDFs and JPEGs, inaccessible to the software itself.

The engagement would start with a document audit. Syntora reviews samples of your current JSAs, incident reports, and toolbox talks to map every required data point for compliance. We analyze how data currently arrives, whether it's through Procore's API, email attachments, or another field application. This audit produces a clear data extraction plan.

The technical approach involves building an AI pipeline in Python that uses the Claude API for its state-of-the-art document parsing. When a new safety document is uploaded to your system, a webhook triggers an AWS Lambda function. The function sends the document to the Claude API with a specific prompt engineered to extract fields like project name, date, signatures present, and identified hazards. The extracted, structured data is then stored in a Supabase database for analysis and reporting.

The final deliverable is not just a script, but a complete system. You get a simple web dashboard, deployed on Vercel, that provides a real-time view of safety compliance across all projects. The system flags non-compliant documents (e.g., 'JSA for Project X on 10/26 is missing a signature') and can send a daily summary email. You receive all the source code, a runbook for maintenance, and full ownership of the system.