Automate Tenant Onboarding and Lease Generation with Custom AI

Most property management companies rely on platforms like AppFolio or Buildium. These tools are excellent for accounting and core property data, but their document generation features are rigid. They use simple mail-merge templates that cannot handle conditional logic. If you need to add a specific pet addendum based on breed, or a different utility clause for a sub-metered property, you are forced to do it manually outside the system.

Consider a property manager with 200 units across two cities with different rental laws. An applicant applies through the AppFolio portal. The manager screens the credit report, then copies the applicant's info into a Word template. They manually check which city the property is in to attach the correct 'local ordinance' PDF. Finally, they upload the combined file to an e-signature service and manually place the 15 signature and initial fields. This process takes 25 minutes of error-prone work for every single lease.

The structural problem is that these platforms are designed for data storage, not logic-driven document generation. Their architecture prioritizes a unified data model over customizable workflows. You cannot build rules like 'If property is in City A and pet is a dog over 50 lbs, insert Clause 7.B and Pet Addendum II'. The systems are not built to be extended in this way, leaving your team to fill the gaps with manual copy-pasting.

The result is that your most experienced staff spend hours on low-value administrative tasks. Each manual data transfer introduces a risk of error, like putting the wrong rent amount or move-in date on a legally binding document. This administrative drag slows down the entire leasing cycle, leaving units vacant for extra days and costing real revenue.

The first step is a complete audit of your current leasing documents and screening criteria. Syntora would map every variable field in your lease agreements, every custom addendum, and the rules that determine when each clause is used. This process creates a definitive logic map for document generation. You would receive this map as a formal scope document to approve before any code is written.

The system would be a FastAPI service that ingests approved applicant data from a webhook in your property management software. For document creation, the service would use the Claude API to intelligently assemble the lease. This is more flexible than simple templates because Claude can handle grammatical variations and complex conditional clauses based on the logic map. We've used this same architecture to process complex financial documents, and the pattern applies directly to legal agreements. The entire system would run on AWS Lambda for event-driven processing that costs less than $20 per month to operate.

The delivered system is an API that integrates with your existing workflow. When a tenant is approved, a manager clicks a button in their current software. The API generates the full, correct lease package as a PDF in under 60 seconds. The file is then sent automatically to your e-signature platform with all fields pre-placed. You receive the full source code and a runbook for maintenance. Book a discovery call at cal.com/syntora/discover to discuss your specific workflow.