Custom AI for Accounts Payable That Actually Works

Most small businesses use QuickBooks Online or Xero, often paired with a tool like Bill.com for AP automation. These tools work well for standard, digitized invoices but fail with variability. Their optical character recognition (OCR) is template-based. When a new contractor sends an invoice from a different software, the template breaks, and the system extracts incorrect amounts or dates, forcing manual correction.

Consider a 15-person marketing agency that works with 25 different freelancers. Invoices arrive as PDFs, phone pictures of paper, and Word docs. The bookkeeper spends 10 minutes per invoice correcting OCR errors in Bill.com. A critical invoice for a $7,500 media buy needs approval from both the project lead and the department head. Bill.com’s linear workflow cannot handle this parallel approval or check the amount against the project's remaining budget in their project management tool.

The structural problem is that these off-the-shelf tools are closed systems designed for predictable data. They cannot learn new invoice layouts on the fly. Their approval engines are rigid and cannot execute conditional logic like "if vendor is 'NewWave Media' and amount is over $5,000, require director approval." They lack the API depth to query external systems, like your project management software, for real-time budget validation before routing an approval.

This forces your finance person to become a human API, manually cross-referencing spreadsheets and chasing down approvals in Slack. The result is a 3-day delay in processing critical vendor payments, risking late fees and damaging relationships. You have no real-time view of liabilities because data entry lags by days, making cash flow forecasting a guess.

The engagement begins with a process audit. Syntora maps your entire AP workflow from invoice receipt to payment confirmation. We analyze a sample of 20-30 real invoices to understand every format variation and data field you need to capture. This discovery phase produces a detailed specification document, including the data model and approval logic, which you approve before any code is written.

The technical approach uses the Claude API for intelligent document processing, which accurately extracts line items from any invoice format without templates. An AWS Lambda function written in Python processes incoming invoices from an email address. For the approval workflow, a simple FastAPI service manages state in a Supabase PostgreSQL database, routing notifications based on business rules. This serverless architecture costs less than $50 per month to operate for thousands of invoices and can process an invoice in under 60 seconds.

Syntora has built financial systems with PostgreSQL ledgers and Plaid integration for bank reconciliation. Your delivered system would automatically create journal entries and match outbound payments to cleared transactions. Approvers get a Slack or email link, review the data, and click "Approve." You get a real-time dashboard showing all outstanding payables, their status, and projected cash outflow, all built with tools you own completely.