Automate Subcontractor Management with Custom AI

Small construction companies often rely on a combination of Procore, BuilderTrend, QuickBooks, and email to manage subcontractors. While these project management tools are effective for tracking high-level status, their compliance modules are rigid. They can track a COI's expiration date but cannot actually read the PDF to verify that the general aggregate coverage meets the $2,000,000 minimum required in the subcontract.

This forces a project manager or coordinator into a high-volume, low-value manual review cycle. Consider a 15-person general contractor processing 30 subcontractor pay applications at the end of the month. The PM must open each PDF email attachment, visually find the billed amount, cross-reference it with the contract value in QuickBooks, check for an attached lien waiver, and then log into Procore to confirm the sub’s COI is still valid. This process takes 10-15 minutes per sub, consuming over 5 hours of a PM's time and stalling payments if a single document is missing or incorrect.

The structural problem is that project management and accounting systems are designed as systems of record, not systems of intelligence. Their architecture is built for structured data entry into predefined fields. They lack the native ability to process unstructured data, like the text and tables inside a scanned PDF. This inability to parse documents is why a human must still act as the bridge between an email inbox and the project management software.

We would begin with an audit of your current subcontractor management workflow. Syntora maps every document you collect (W-9s, COIs, pay applications) and identifies the specific data points you need to verify from each. This discovery phase also covers your existing software stack, confirming the exact API connections needed for Procore or QuickBooks to make the process work with your current tools.

The technical core would be a Python service running on AWS Lambda, triggered whenever a new document arrives in a dedicated inbox. The service uses the Claude API to read each PDF, accurately extracting key values like insurance limits, invoice totals, and dates. We use Pydantic to validate that the extracted data is correctly formatted before updating your project management system or a central Supabase database. A lightweight FastAPI provides an endpoint for any future tool integrations.

The delivered system works quietly in the background. A subcontractor emails a pay application, and the system automatically verifies the amounts, checks for a valid COI, and flags the invoice as ready for payment in QuickBooks. Any exceptions, like an expired insurance policy or a math error, generate a single, consolidated alert for the project manager. You receive the full source code, a runbook for maintenance, and complete ownership of the system.