Automate AR Collection Reminders with a Custom AI System

Most small businesses rely on the built-in reminder features of QuickBooks Online or Xero. These tools send generic, one-size-fits-all emails that lack context. They cannot distinguish a new client who is 60 days late from a 10-year client who is 5 days late. The result is that important clients get impersonal, robotic messages, while problem accounts get reminders that are too soft. The templates cannot be paused automatically if a client replies, leading to embarrassing follow-ups after a payment promise has been made.

Consider a 15-person marketing agency where an office manager spends four hours every Friday chasing 20-30 overdue invoices. For each one, she checks QuickBooks, then her email, then drafts a note. A high-value client gets a gentle nudge. A chronically late client gets a firm message with the original contract attached. This manual process is not just slow; it's a constant source of errors. Sending a stern reminder to a key client who had already paid can damage a relationship that took years to build.

The structural problem is that accounting platforms are systems of record, not systems of engagement. Their automation is an afterthought, unable to incorporate unstructured data like an email reply to alter a workflow. They are built around the logic of a general ledger, not the nuances of client communication. To them, an invoice is a row in a database, not a conversation that requires tailored tone, timing, and context based on years of payment history.

The first step is a discovery call to map your current AR process. Syntora audits your accounting software, your email system, and how you currently track client communications. We identify the rules you already use manually, like escalating the tone after 15 days or CCing an account manager for invoices over $10,000. This audit produces a clear workflow diagram that the AI system will follow.

Syntora built its own financial systems, including a PostgreSQL ledger that syncs with Plaid and Stripe in under 3 seconds. For your AR automation, the core would be a Python service using the FastAPI framework, hosted on AWS Lambda for event-driven execution. The system would poll your accounting API every 24 hours, feed invoice data to a Claude API prompt, and stage reminder emails for approval. A Supabase database would log every action for a clear audit trail. The entire build is typically a 3-week engagement.

The delivered system runs automatically in your cloud account. You receive a daily summary of reminders sent and any invoices that require manual review. This approach reduces manual follow-up time by over 90%, and hosting on AWS Lambda keeps costs under $30/month for most businesses. You get the full source code and a runbook explaining how to adjust the reminder logic yourself.