Automate Your Construction Compliance Documentation

Construction firms often rely on project management software like Procore or Autodesk Construction Cloud to store compliance documents. These platforms are excellent digital filing cabinets but lack intelligent analysis. They can confirm a Job Hazard Analysis (JHA) form was submitted, but they cannot read the text inside to see if a crew working at 12 feet mentioned fall protection. The responsibility for catching that critical omission falls back to a person manually reading every document.

For example, a safety manager at a 30-person general contractor receives 15-30 PDF reports daily from multiple job sites. They spend two hours each morning opening each file, scanning for keywords like 'incident' or 'near miss', and visually checking for signatures and completed fields. Missing a single mention of an unreported injury can lead to significant OSHA fines and legal exposure. The process is slow, expensive, and dangerously prone to human error.

General-purpose storage like SharePoint or Google Drive is even more limited, offering only basic keyword search. You cannot ask, “Show me all toolbox talks that discussed electrical safety in the last month.” You have to know exactly what to search for. This reactive approach makes it impossible to spot systemic risk or identify sites with recurring safety issues before an incident occurs.

The structural problem is that these are document storage platforms, not document understanding platforms. Their architecture is built for organizing files with structured metadata (date, project ID). They do not have an AI layer to interpret the unstructured text, photos, and handwriting *inside* the files, which is where 100% of the compliance risk actually lives.

The first step would be a document audit. Syntora would analyze 50-100 of your real-world compliance forms, like daily reports, JHAs, and incident logs. This process identifies the key information to extract and the specific compliance rules to enforce (e.g., 'flag any report of work over 6 feet that does not mention 'harness' or 'railing''). You would receive a report defining the data extraction plan before any code is written.

The technical approach would be a Python service running on AWS Lambda. When a new document is uploaded to your existing system (Procore, SharePoint, etc.), a webhook triggers the service. The service uses the Claude API to read and understand the document, including handwritten notes. A FastAPI endpoint would then feed a simple dashboard that shows the safety manager a summary of all documents, with any non-compliant reports flagged for immediate review. This entire process would take less than 5 seconds per document.

The delivered system connects to your current software, so your field team's workflow does not change. They continue submitting forms as always. The safety manager gets a real-time, centralized view of compliance status across all projects. You receive the full source code, a runbook for maintenance, and a system capable of processing over 200 pages per day for under $50 per month in hosting fees.