Build Custom Admin Automation for Your Construction Business

Construction firms often start with visual automation tools because they connect to Procore or Autodesk Construction Cloud in a few clicks. The problem is that these platforms charge per task. A single change order request might trigger 5 tasks: read the form, look up the project budget in QuickBooks, notify the PM, create a document for signature, and log the result. At 20 change orders per day, one workflow can burn through a 3,000-task monthly plan in a week.

A 30-person electrical subcontractor tried to connect their field reporting app to their project management system. The workflow was supposed to create a daily log with photos from the field. The platform's API poller only ran every 15 minutes, so reports were always delayed. Worse, if a single API connection failed overnight, the entire workflow would halt silently, and the next morning they would discover hours of field reports were simply gone.

These platforms are fundamentally designed for simple, linear triggers. They cannot manage state, such as tracking a submittal through a multi-stage review process that might take weeks. They become brittle chains of connections that are difficult to debug and fail without clear error logs, making them unsuitable for business-critical financial and operational processes.

Syntora's engagement would begin with a thorough discovery phase to map your entire administrative process, from initial document receipt to final archival. We would collaborate closely to understand your specific needs and design a solution tailored to your workflows. This includes defining precise data schemas using official APIs from systems like Procore and QuickBooks Online, establishing clear data contracts for the automation system. Pydantic would be used to enforce these contracts and validate all inbound and outbound data, ensuring robust data integrity from end to end.

The core workflow logic would be implemented as a Python application built with FastAPI. For example, when an architect emails a submittal, a webhook could trigger the system. The application would use libraries like mail-parser to extract attachments and metadata, then create a submittal record in a Supabase Postgres database. Routing logic, such as assigning a submittal to a specific engineer based on its CSI division code, would be implemented as a simple, testable Python function, designed for clarity and maintainability.

The FastAPI service would be containerized using Docker and deployed on AWS Lambda, allowing it to run only when a task needs to be processed. This consumption-based model provides significant cost-efficiency, ensuring hosting expenses remain proportional to usage. All application logs would be sent to AWS CloudWatch, with alerts configured to trigger on critical errors, like a failed API call to an external system, enabling proactive maintenance. We have extensive experience building document processing pipelines using similar architectural patterns for financial documents, and the same robust principles apply to construction documents. The typical build process for a system of this complexity ranges from 3-5 weeks, depending on the scope and client-provided access to APIs and existing systems.

The delivered system would integrate directly with your existing software stack. It would send notifications with deep links to platforms like Microsoft Teams when an action, such as a change order requiring approval, is needed. We would incorporate real-time exception tracking using Sentry to proactively identify and address unhandled errors. Our goal is to create a production-grade system that efficiently manages data flow between your tools, replacing manual touchpoints with reliable automation.