Automate Subcontractor Performance and Compliance Tracking

General contractors often rely on project management software like Procore or Autodesk Build. These platforms are excellent for document storage and communication but fall short on intelligent analysis. A PM can see that 15 daily reports were uploaded, but the system cannot read the PDFs to flag that the plumbing subcontractor has been operating with a reduced crew size for three straight days, putting them behind schedule.

A typical scenario involves a project manager overseeing a mid-rise build with 20 active subcontractors. Each day, they receive a flood of PDF reports, invoices, and hundreds of site photos. To approve a single monthly payment application, the PM must spend hours manually cross-referencing that application against a month's worth of daily logs and photos. This manual verification is slow, prone to error, and happens weeks after the work was done, increasing the risk of overpayment for incomplete work.

The fallback is a master tracking spreadsheet, which is perpetually out of date and fragile. A single copy-paste error can corrupt retainage calculations. This disconnect between field operations and financial administration creates a significant bottleneck. Accounting has the invoices from QuickBooks, but no visibility into the on-site progress that justifies payment. The PM is the human bridge, spending valuable time on administrative forensics instead of managing the project.

The structural problem is that these tools are designed for record-keeping, not interpretation. Procore is a database, and QuickBooks is a ledger. Neither is built to understand the content of a photo or a PDF daily report. Bridging the gap between field reality and financial approval requires a layer of intelligence that these platforms lack, forcing your most expensive personnel into hours of low-value administrative work.

The first step would be to audit your current subcontractor management workflow. Syntora would analyze your standard contract terms, daily report formats from different subs, and the payment approval process. We would identify the key data points needed for verification, such as crew size, work performed, materials delivered, and safety incidents. This discovery phase results in a clear plan for a system that extracts the specific information you need.

The technical approach would use Gemini Pro to read and interpret the unstructured data in daily reports, change orders, and other documents. A Python-based pipeline would process these documents, extract the key information, and store it in a structured Supabase database. This creates a real-time performance ledger for every subcontractor. The system would be built on AWS Lambda for cost-effective, event-driven processing, triggering analysis every time a new document is uploaded.

The delivered system would act as an automated assistant for your project managers. It would generate a daily digest email highlighting any risks or deviations, such as a sub falling behind schedule or an expired insurance certificate. When a payment application arrives, the system would produce an instant verification report comparing the invoiced work against the documented progress, complete with links to supporting photos and daily logs. This transforms the payment approval process from hours of manual checking into a 5-minute review.