Automate OSHA Compliance Checks with Custom AI

Many construction companies, particularly specialty contractors, rely on established project management software like Procore or Autodesk Build for daily operations. While effective for logging incidents after they happen and managing structured data, their safety modules are fundamentally reactive. These tools are built as structured databases, meaning they depend on manual data entry and lack the native capability to proactively interpret unstructured information—like the narrative content of daily logs, site photos, or even scanned safety checklists—for potential risks before they escalate.

Consider a common scenario: a superintendent on one of your job sites uploads dozens of photos to the daily log, along with text updates. In the midst of these, one image might clearly show an unmarked trench deeper than five feet without proper shoring, or a worker on an aerial lift without a spotter. The text might mention 'ongoing excavation' but the digital safety checklist for that day is marked complete. To catch such a critical, pre-incident violation, your safety manager would need to manually review potentially hundreds of photos and log entries from multiple active projects every single day. This is a monumental task, often leading to weekly, if not less frequent, reviews. As a result, a critical violation could persist on-site for days, exposing your team to unnecessary risk and your company to significant fines. This mirrors the challenges estimators face when flipping through 50+ drawing pages per project, trying to manually spot every detail.

The core issue is architectural: traditional project management platforms are designed to store structured information, not to interpret or derive insights from unstructured data. They lack the advanced computer vision and natural language processing capabilities required to 'see' a missing guardrail in a photo or understand the implied risk from phrases like 'equipment operating near power lines' in a text field. Attempting to solve this with more checklists or new forms only adds to manual data entry burden, which is a known bottleneck that prevents scaling, much like the manual data entry from takeoff software to Excel for estimating. The inability to analyze this vital unstructured data stream leads to missed scope items in safety, creating reactive rather than proactive safety programs.

Syntora addresses this by building custom AI automation pipelines. The initial step would be a comprehensive audit of your current safety data workflow. Syntora would establish secure connections to your existing project management systems (e.g., Procore, Autodesk Build) via their APIs to understand precisely how photos, daily logs, safety meeting minutes, and other relevant documents are stored and tagged. We would collaborate closely with your safety manager to identify the top 5-10 most common and highest-risk OSHA violations pertinent to your specific type of construction work, which would become the initial, focused targets for the AI system. You would receive a detailed scope document outlining the identified data sources, the specific target violations, the proposed AI models, and the mechanism for generating and distributing alerts.

From a technical perspective, the system would be architected for scalability and reliability, often utilizing cloud services like AWS. An AWS Lambda function would be configured to trigger automatically each time a new photo, document, or daily log entry is uploaded to your project system. For text analysis, a service like the Claude API or Gemini Pro would parse daily logs and safety narratives to extract high-risk activities, while a dedicated computer vision model, potentially leveraging Gemini Vision, would analyze images for specific hazards such as missing PPE, fall protection issues, or unbarricaded trenches. This processed data would then be fed into a central FastAPI service. This service applies the defined compliance logic, logs potential issues into a Supabase database for auditability, and sends an immediate, prioritized alert via your preferred channel (e.g., email, SMS, or direct integration into a communication platform like Google Workspace).

The delivered system provides a simple, actionable dashboard that displays a real-time, prioritized list of potential compliance issues across all your active projects. Each alert would include the source photo or text snippet, along with the specific OSHA standard it may violate, empowering your safety manager to address issues proactively, often within minutes instead of days. Syntora provides you with the full source code and documentation, and the system is deployed within your own cloud account, giving you complete ownership and control over the infrastructure and data. This mirrors our approach for estimating automation, where we build and deliver Python-based pipelines that process architectural drawings and populate Excel templates with audited accuracy, processing in under 60 seconds what takes manual estimators hours.