Ensure Regulatory Compliance with a Custom AI System

Many construction firms use Procore or Autodesk Construction Cloud for project management. While these platforms can store documents, they function as digital filing cabinets, not active compliance monitors. A project manager can upload a subcontractor's Certificate of Insurance (COI), but the system cannot read the PDF to find the policy's expiration date. Someone must still open the file, locate the date, and manually enter it into a separate tracking spreadsheet.

Here is a common failure scenario. A 25-person general contractor needs weekly Toolbox Talk reports with attendance sheets from five subcontractors. The project manager receives photos of these forms via email and text message throughout the week. Every Friday, that person spends 3 hours chasing down missing reports, cross-referencing signatures against crew rosters, and updating a master spreadsheet. This manual process is slow and introduces a high risk of data entry errors that could be costly in an OSHA audit.

The structural problem is that project management software is built to store project artifacts, not to interpret their contents. Its architecture relies on users to input metadata manually. To these systems, an expired insurance certificate is just another PDF file named 'COI.pdf'. They lack the native ability to perform optical character recognition and content extraction, which forces firms into a constant, manual loop of downloading, reading, and re-entering data to maintain compliance.

The engagement would begin by auditing your current compliance documents. We would collect 5-10 samples of every required form, from subcontractor COIs and W-9s to daily safety logs and OSHA 30 cards. This audit defines the exact data points that need to be extracted and forms the basis of the technical plan.

We would build a central FastAPI service to manage the workflow. When a document arrives in a designated inbox, an AWS Lambda function sends it to the Claude API for parsing. Claude can extract specific fields, such as "Policy End Date" from an ACORD 25 form or "Date of Issue" from an OSHA card, with high accuracy. Pydantic models validate the extracted data before it is stored in a Supabase database, creating a single source of truth for compliance status. We have built similar document processing pipelines for financial services, and the same architectural pattern applies directly to construction paperwork.

The delivered system would be a simple dashboard showing the compliance status of every worker and subcontractor on a project. It would automatically flag any missing documents or certifications expiring within the next 30 days and send a summary email to the project manager. You receive the full source code, a runbook for maintenance, and complete control over the system, which runs for under $50/month in your own cloud account.