Automate Subcontractor Coordination with Custom AI

General contractors rely on project management platforms like Procore or Autodesk Construction Cloud. These systems are excellent for document storage and creating a central record, but they lack intelligent processing. A project manager still has to manually open a subcontractor's RFI PDF, find the relevant drawing number, cross-reference it with the latest schedule, and type a response.

Consider a site superintendent managing 15 subcontractors on a mid-size commercial build. An electrician emails a question about conduit placement shown on drawing A-201. The PM has to stop their current task, open Procore, find the drawing, check for recent architectural addenda, and then check the master schedule to ensure no other trade conflicts. This manual lookup takes 10-15 minutes for a single question, and they receive 20-30 such inquiries daily.

The core problem is that systems like Procore are databases with a user interface, not active agents. They cannot read the content of the documents they store. The platform can tell you an RFI was submitted, but it cannot understand the question within the RFI, find the answer in a different document, and draft a response. This architectural limitation forces high-paid project managers to spend their days acting as manual search engines.

This constant context-switching leads to delayed responses, which can halt work on site. It also creates a high risk of error. A PM referencing an outdated drawing or schedule can give incorrect guidance, leading to expensive rework that impacts project timelines and profitability. The manual process itself is the bottleneck.

The first step is a process audit. Syntora would map the complete lifecycle of subcontractor communications, from initial bid submission to final COI collection. We would analyze a sample of 100-200 recent emails and RFIs to identify the most frequent question types. This discovery phase produces a clear scope document defining the initial automation targets, like RFI responses or compliance tracking.

The system's core would be a FastAPI service using the Claude 3 Sonnet API for document intelligence. This API can parse PDFs and unstructured text from emails to extract key information like drawing numbers or compliance expiration dates, a task that takes about 2 seconds per page. The extracted data is stored in a Supabase Postgres database, creating a structured, searchable knowledge base from project documents. We'd use AWS Lambda for event-driven processing, so a new email triggers the parsing function automatically with a typical cold start under 500ms.

The final system would integrate with your existing email and project management software. When a subcontractor emails a question, the system finds the answer in its knowledge base and drafts a response for your project manager to review and send with one click. For compliance, it would scan incoming COIs, extract expiration dates, and send automated email reminders 30 days before expiration. You receive the full Python source code and a runbook for maintenance.