Automate Accounts Payable with Custom AI

Small businesses rely on QuickBooks Online or Xero for accounting. For AP, they add tools like Bill.com or Expensify. These tools work well for standard, templated invoices but fail on variance. QBO's rules engine requires exact string matches, so an invoice from "ACME Inc." and "ACME Incorporated" creates two different vendors. Bill.com's AI capture often misses line-item details on PDF invoices that are not perfectly structured.

Consider a 15-person marketing agency that receives 50-100 invoices per month from various freelance contractors. Each freelancer's invoice format is different. The bookkeeper spends 10 minutes per invoice manually entering the contractor's name, invoice number, date, amount, and service description into QuickBooks. One typo in the amount can cause reconciliation headaches for weeks, consuming over 15 hours of manual work a month.

The structural issue is that off-the-shelf tools are built for the most common 80% of invoices. They rely on rigid templates or basic optical character recognition (OCR) that cannot understand context. They cannot handle a contractor who sends a PDF, a screenshot from their phone, or just a plain text email as their "invoice." These systems lack the flexible intelligence to parse unstructured data, forcing a human back into the loop for every exception.

This manual work leads to late payment fees, strained vendor relationships, and zero real-time visibility into cash flow. Because the data entry is slow, the leadership team makes decisions based on financial data that is days or weeks old. The cost is not just the bookkeeper's salary; it's the cost of poor, delayed financial intelligence.

An engagement would start with an audit of your current AP process. Syntora would review a sample of 20-30 historical invoices to understand the diversity of formats and identify common data points. We would map the flow from when an invoice arrives in an inbox to when the payment is sent, identifying the exact approval steps needed.

The technical approach would use a dedicated service with Python and the Claude API to read and parse invoices from a designated email address. The Claude API excels at extracting structured data from unstructured text and PDFs with over 95% accuracy. A FastAPI application, with a 200ms response time, would serve as the core logic, running on AWS Lambda for cost-effective hosting under $20/month.

The final system connects to your accounting software's API to create draft bills automatically. You would receive a daily summary email or Slack message with bills ready for review. The system includes a simple web interface built with Vercel and backed by a Supabase database to view the original invoice PDF alongside the extracted data for a quick 5-second audit. This approach extends the real-time financial processing Syntora built for its own ledger system to your specific AP needs.