Automate Lease Renewals and Tenant Communication with Custom AI

Most CRE firms rely on the calendar functions within property management systems like Yardi or AppFolio. These tools can store critical dates, but they depend on a human to read a 60-page lease, find the renewal option clause, calculate the specific notification window, and manually enter that date. A single data entry error across a 40-property portfolio can lead to a missed option, potentially costing millions in lost tenancy or unplanned vacancy.

Consider a lease administrator at a mid-market investment firm. The first week of every month is spent in a spreadsheet, cross-referencing it with a folder of PDF leases. For a lease expiring in 12 months, they must find the notification clause, which might read "Tenant must notify Landlord in writing no less than 180 days and no more than 270 days prior to expiration." They calculate these two dates, create two separate calendar reminders, and manually log the activity. This takes 25 minutes per lease.

The structural problem is that property management software is a database, not a document intelligence platform. These systems are designed to manage financials and maintenance requests, not to interpret unstructured legal language. The link between the official lease document and the operational database is a human, which introduces risk, delay, and significant administrative cost. The system of record cannot automatically read its own source documents.

An engagement would begin with a document audit. Syntora would analyze a sample of 10-20 of your lease agreements to map common structures, key clauses (renewal options, termination rights, rent escalations), and terminology. We would also map your existing data flow to understand how this new, structured data should integrate with your current property management system.

The technical approach would use a Python pipeline to process lease documents. The Claude API is used for its 200k token context window, allowing it to analyze entire long-form commercial leases in a single pass to extract entities like expiration dates, notification windows, and escalation percentages. The extracted, structured JSON data is then stored in a Supabase database, creating a queryable source of truth for your entire lease portfolio.

The delivered system would be a set of serverless functions on AWS Lambda that runs on a schedule. The system would query the database daily for upcoming deadlines and trigger alerts via email or API call to your existing task management system. It would also auto-draft the initial tenant notification email, populating a template with correct dates, names, and contact information, ready for a property manager to review and send. For a 500-lease portfolio, this system costs under $50 per month to operate.