Automate Subcontractor Schedule Coordination

Most project superintendents rely on a mix of Procore, Autodesk Construction Cloud, and spreadsheets to manage schedules. These tools are excellent systems of record, but they are not real-time communication processors. Critical information remains siloed in 'Daily Logs' or 'RFIs', and a text message about a 2-day delay from a plumber is not reflected in the master schedule until someone manually enters it. The notification systems are often noisy, mixing urgent schedule changes with routine project chatter.

For example, a superintendent is managing two active commercial job sites. At 7 AM, the HVAC subcontractor on Site A texts him, 'Inspectors found an issue, we're pushed back 3 days.' Fifteen minutes later, the framing subcontractor on Site B emails, 'Finished early, ready for drywall inspection tomorrow.' The superintendent must mentally process these updates, call the drywall subcontractor for Site A to delay their start, call the inspector for Site B to move their visit up, and then manually update two different Gantt charts. He misses a critical email from the electrician on Site A, whose material delivery now conflicts with the new HVAC schedule. The result is a day of rework and two crews standing around waiting.

The structural problem is that construction project management tools are designed as databases, not as language processing engines. They require a human to act as the central processing unit, to constantly read, interpret, and translate unstructured human communication into structured data entries. The core issue is an architectural mismatch between how crews actually communicate (messy, real-time texts and emails) and how software tracks projects (clean, structured database fields).

The first step is a communication audit. Syntora would map every channel your superintendents use to communicate with subcontractors, from emails and texts to notes in a project management system. We identify the key phrases and data points that signal a schedule change, material delay, or dependency conflict. This audit produces a data dictionary and flow diagram that becomes the blueprint for the automation system.

The technical approach involves a data pipeline that ingests all these communications. We use an AWS Lambda function to poll a dedicated inbox and a service like Twilio to handle incoming texts. The Claude API parses the raw text from each message, extracting entities like subcontractor name, task, relevant dates, and delay reasons. A FastAPI service then takes this structured data, checks it against the master schedule stored in a Supabase database, and flags any new conflicts. This serverless architecture is efficient, typically costing less than $50 per month to operate.

The deliverable is a private web dashboard showing a unified, real-time timeline of all subcontractor activities across every job site, with potential conflicts highlighted. Instead of constant notifications, the superintendent receives a single daily digest email summarizing all schedule changes and required actions. You receive the full Python source code and a runbook, and the system can be configured to push updates back into your primary project management software.