Automate Tenant Onboarding with Custom AI

Many property management firms rely on the built-in features of platforms like AppFolio or Yardi. While these tools centralize data, their onboarding workflows are rigid. You are often locked into their preferred screening provider, and you cannot customize the decision logic to match your company's specific risk criteria. If you want to add a unique check, like verifying a specific professional license, the platform offers no way to do it.

To work around this, teams adopt third-party screening tools like TransUnion SmartMove or RentPrep. This fragments the workflow. Consider a 20-person firm managing 500 units. A leasing agent receives a rental application as a PDF. They must manually type the applicant's name, social security number, and employment history into the screening portal. After 15 minutes, they get a report, which they then have to download and manually summarize in the primary property management system. This process takes 30-45 minutes per applicant and is extremely prone to error.

The core issue is architectural. All-in-one property management platforms are closed ecosystems designed for standardization, not specialization. Their data models are fixed, and their APIs are limited, preventing you from integrating best-in-class services or implementing custom logic. You are forced to adapt your business process to the software's limitations, rather than building a system that provides a competitive advantage through operational speed and accuracy.

The engagement would begin with a thorough audit of your current tenant screening process. Syntora maps every step, from how applications are received to the specific criteria used for approval. We identify all data sources, third-party verification services, and the final destination for applicant data in your property management system. This audit results in a detailed technical plan and a fixed-price proposal for your approval before any code is written.

The technical approach would use the Claude API to extract structured data from unstructured documents like PDF applications and pay stubs. A central FastAPI service, written in Python, would orchestrate the entire workflow. This service would send applicant data to multiple third-party APIs for credit, criminal, and eviction checks in parallel. All results and logs would be stored in a Supabase Postgres database, creating a permanent audit trail for every application.

The final deliverable is a production-grade system hosted in your own AWS account. Your leasing team could submit applications through a simple interface or email trigger. Within 90 seconds, they would receive a complete, summarized screening report with a clear recommendation. The system would be designed to push this summary directly into a custom field in your existing property management platform, eliminating manual data entry entirely.