Automate Subcontractor Coordination with Custom AI

Many general contractors rely on project management software like Procore or Autodesk Construction Cloud. These platforms are excellent for tracking documents and deadlines. They can alert a project manager that a subcontractor's Certificate of Insurance (COI) is about to expire. However, they cannot read the contents of the new COI PDF that gets uploaded. The platform sees a file, not the data inside it.

Consider a project manager onboarding five new subs for a commercial project. The PM needs a signed contract, a W-9, and a COI from each one. The subs email back PDFs in various formats. The PM must open each COI, manually find the general liability, auto, and umbrella coverage amounts, and check them against the master agreement's requirements. This is 20 minutes of tedious, error-prone work. If a policy limit is $500,000 short, the PM has to draft an email, send it, and wait for a corrected document to repeat the entire process.

The structural problem is that project management software is built to be a database with a good user interface. Its core architecture is designed to store and retrieve structured information, like a due date or a contact name. These platforms are not designed to be language processing engines that can interpret the unstructured text and tables inside a PDF. This forces your most valuable employees to act as human data-entry clerks, bridging the gap between documents and the database.

The first step would be a technical audit of your current subcontractor onboarding process. Syntora would map every document you collect (MSAs, COIs, W-9s) and the specific data points you need to verify from each. We would also review your project management system, whether Procore, Autodesk Build, or another platform, to define the exact API integration points. You would receive a scope document outlining the data extraction model and connection plan before any build starts.

The core of the system would be a document processing pipeline built with the Claude API. We've built similar data extraction pipelines for complex financial documents, and the same pattern applies to insurance certificates. An AWS Lambda function would trigger when a new document is uploaded. Claude API would parse the PDF, extract key fields like policy numbers and coverage amounts, and validate them against your project's rules. This entire process typically takes under 3 seconds per document. A FastAPI service would expose a secure endpoint for your PM tool to check compliance status.

The delivered system would automatically update a 'Compliance Status' field directly in your existing software. When a PM uploads a subcontractor's COI to Procore, the status would change from 'Pending' to 'Approved' or 'Rejected' in under 60 seconds, with a note explaining any issue. The system could also send an automated email to the sub detailing exactly what needs to be fixed. The final hosting cost on AWS Lambda for up to 10,000 documents per month is typically under $50.