Automate Inspection Scheduling and Compliance Reporting

Property management teams often rely on their Property Management System (PMS) like AppFolio or Buildium for inspections. These platforms have built-in modules, but their workflows are rigid. You cannot customize the logic to match a specific Boston lead paint disclosure or a California habitability checklist. If an inspection notes water damage, the system can't automatically create a high-priority work order and assign it to a plumbing vendor; a property manager has to do that manually.

For scheduling, teams resort to email chains or tools like Calendly. This creates a coordination nightmare. Consider a 15-person firm managing 800 units. A manager emails a tenant to schedule an annual inspection, gets a few times back, checks the inspector's separate Google Calendar, finds a conflict, and starts the email cycle again. This is a 15-minute, multi-email process for every single unit, creating thousands of low-value interactions and a high risk of missed inspections.

After the inspection, the inspector emails a 10-page PDF report with photos. The property manager must then manually copy-paste data from that PDF into the PMS and then into a separate, city-mandated compliance portal. A single typo in a unit number or date can lead to a failed audit and significant fines. The process is slow, expensive, and fragile.

The structural problem is that off-the-shelf software is built for the average property manager, but compliance is hyper-local. PMS vendors cannot afford to build and maintain custom workflows for every city's unique regulations. Scheduling tools are not designed for the three-way coordination between tenant, inspector, and manager. This forces teams into a patchwork of manual processes and disconnected tools that guarantees inefficiency.

The first step would be a focused audit of your highest-volume inspection workflow. Syntora would map every data source, from the format of tenant emails to the specific fields on your most critical compliance report. This process identifies the exact data that needs to be captured and moved between systems. You receive a technical specification and a data flow diagram before any code is written.

The core of the scheduling system would be a Claude API-powered agent that reads tenant emails, extracts available time slots, and checks them against calendars via the Google Calendar or Microsoft Graph API. For reporting, a FastAPI service running on AWS Lambda would process inbound inspection PDFs. This service would use optical character recognition (OCR) and a large language model to extract structured data, like "moisture detected: yes" or smoke detector serial numbers from photos, and validate it using Pydantic schemas.

The delivered system integrates into your current workflow, not a new one. Confirmed inspections are created automatically in your PMS. Completed compliance reports are saved as PDFs in a shared drive, and a notification is sent to your team via Slack or email. You receive the full Python source code and the system runs in your own AWS account, typically costing under $50 per month for a portfolio of 1,000 units.