Automate Tenant Onboarding for Your Property Portfolio

Property management teams often rely on the screening tools built into their Property Management Software (PMS) like Buildium or Yardi. These tools offer basic credit and background checks but enforce rigid, one-size-fits-all rules. They cannot handle nuanced logic, such as automatically requesting a co-signer if an applicant's credit score is between 620 and 650, or adjusting security deposit requirements based on income-to-rent ratios.

To fill the gaps, some teams use generic tools like Jotform connected to their PMS with Zapier. This approach quickly breaks down. Consider a property manager handling 100 units who receives 15 applications for a single vacancy. Manually downloading IDs, verifying income from inconsistent pay stub formats, and copy-pasting SSNs into a separate screening portal for each applicant takes over 30 minutes per person. The process is slow and introduces a high risk of data entry errors.

These workflows also create a significant security risk. Passing sensitive personally identifiable information (PII) like driver's licenses and Social Security numbers through multiple cloud services not designed for this purpose can violate data privacy regulations. A Zapier workflow lacks the robust audit logging required to demonstrate fair housing compliance, making it impossible to prove why one applicant was rejected and another approved.

The structural problem is that PMS platforms are closed ecosystems, and no-code tools are not built for secure, state-aware processing of sensitive information. They cannot provide the auditable, customizable, and secure workflow that professional property management requires. This forces teams into hours of low-value administrative work, slows down the leasing cycle, and risks losing qualified tenants to competitors.

The first step is to audit your current onboarding process. Syntora would map every step, from the initial application to the signed lease. We would document your specific screening criteria, income verification rules, required documents, and the exact data fields that must be written back into your PMS. This discovery phase produces a detailed architectural plan that you approve before any code is written.

The technical approach would use a FastAPI service deployed on AWS Lambda to manage the workflow. When an application is submitted, the Claude API parses submitted documents like pay stubs and bank statements to extract structured data like names, employers, and income amounts. We have used this exact pattern to process complex financial documents in other domains. The validated data is stored in a Supabase PostgreSQL database, which provides a complete audit trail for every decision.

The delivered system integrates directly with your background check provider's API and your PMS. An application that meets all predefined criteria would be processed in under 60 seconds, with a new tenant record created automatically. Applications that require review are flagged in a simple dashboard for your team. You receive the full source code, a maintenance runbook, and a system that lives in your own cloud environment.