Automate Daily Subcontractor Progress Reporting

Project managers start by emailing and texting subcontractors for daily updates. This manual process is time-consuming but necessary. The alternative, forcing subcontractors to log into your instance of Procore or Autodesk Build, fails because they will not learn a new portal for every general contractor they work with. They revert to sending an email, which defeats the purpose of the expensive portal license.

In practice, a project manager for a regional GC overseeing a commercial build with 8 active subcontractors gets swamped. The framing crew texts a photo of their progress. The HVAC team sends a three-page PDF with material requests buried on page two. The electrician just replies-all with '100% complete on rough-in'. The PM then spends 90 minutes every morning copy-pasting this information into a spreadsheet or the official daily log in Procore. One typo on a material quantity can delay a delivery by a day.

This is a data normalization problem, not a simple data entry task. Off-the-shelf email parsers or tools like Smartsheet's email-to-row feature cannot interpret the content of a PDF attachment or understand the context of a text message. They can move data, but they cannot structure it. Without a system that can read and understand natural language, your project managers are stuck with manual compilation.

Syntora's approach begins with a discovery phase to understand your specific reporting ecosystem and project management software. From there, we would design and implement a custom automation solution.

The first step would be to establish a central intake channel. Syntora would set up a dedicated email address using Amazon SES or a phone number via Twilio. Every inbound report, whether an email body, a PDF attachment, or an SMS message, would trigger an AWS Lambda function. This function would use the Python library `pdfplumber` to extract raw text from PDF files and `Pillow` to handle any attached images.

Next, the extracted text would be passed to the Claude 3 Sonnet API. Syntora would engineer a specific prompt that instructs the model to act as a construction project assistant. The prompt would direct it to identify and extract key information: subcontractor name, project ID, percent complete, blockers, safety incidents, and materials needed. We've built document processing pipelines using Claude API for financial documents, and the same pattern applies to construction project documents. The API would return a structured JSON object, which would then be validated and stored in a Supabase Postgres database.

A scheduled FastAPI service, deployed on Vercel, would be configured to run every morning. This service would query the Supabase database for all reports submitted in the last 24 hours. The service would aggregate the data for each project and generate a concise summary. The summary would then be pushed directly into your project management system, like Procore or Autodesk Build, via their native APIs.

For quality control, if Claude's JSON output fails a Pydantic validation model (e.g., a required field is missing), the original report would be flagged. The system would send an email notification to the project manager with a link to a simple review queue for manual inspection. Typical build timelines for a system of this complexity are 8-12 weeks, depending on the initial discovery and client-provided requirements. The client would need to provide access to example reports, relevant PM software APIs, and collaborate on defining extraction rules. The deliverables would include the deployed system, documentation, and a handover plan.