Automate Subcontractor Coordination and Reduce Project Delays

Many small general contractors rely on project management software like Procore or Buildertrend. These platforms are excellent systems of record for storing documents, but they are passive. You can upload a Certificate of Insurance (COI), but the system does not read the expiration date on the PDF and automatically trigger a follow-up sequence 60 days before it lapses. The burden of tracking and acting on this data still falls on the project manager.

For example, a 15-person GC starting a new project needs to collect signed MSAs and valid COIs from 12 subcontractors. The PM emails everyone. Eight subs respond, but two send expired COIs and one sends a policy with the wrong liability limits. The PM now must manually open each PDF, cross-reference insurance limits in a spreadsheet, and begin individual follow-up email chains. This consumes an entire morning, and one unresponsive plumbing sub can delay the whole project schedule.

Firms without a central PM tool are in a worse position, with a project manager's inbox and a shared Excel file acting as the central coordination system. This is incredibly brittle. An RFI response is easily buried, and version control on a compliance spreadsheet is a constant risk. When a PM is on vacation or leaves the company, project knowledge walks out the door.

The structural problem is that construction PM software is built to be a database, not an intelligent agent. General automation tools can connect email to a spreadsheet, but they cannot interpret the content inside an attached PDF. Solving this requires a system that can both parse unstructured documents and execute business logic based on their content, a capability that is absent from off-the-shelf software.

The first step is a discovery audit of your subcontractor onboarding process. Syntora would map every document you collect, the key data points in each (like insurance limits or license numbers), and the exact communication cadence for follow-ups. We would also review how this information connects to your accounting system for payments. The output is a data flow diagram that becomes the blueprint for the build.

We would build a central intake system using a dedicated email address connected to an AWS Lambda function. When a sub sends their documents, the function uses the Claude API to parse the contents, extracting fields like expiration dates and policy numbers. This structured data is stored in a Supabase database. We've built similar document parsing pipelines for financial documents; the same pattern of using Claude API for extraction and FastAPI for business logic applies directly to construction paperwork. The FastAPI service then checks the data against your project's specific compliance rules.

The delivered system integrates into your current workflow. A daily email summary informs your PM of any compliance issues, replacing manual checks. The system can send automated, escalating reminders to subcontractors for missing or expiring documents. You receive the full Python source code in your own GitHub repository, a deployment runbook, and a dashboard for monitoring the system's performance.