Implement Custom AI for Accounts Payable & Receivable

Many 30-employee accounting firms rely on the built-in rules of QuickBooks Online or tools like Bill.com. These work for basic invoice processing but fail when complexity increases. QuickBooks rules are keyword-based; a new vendor or a slight change in an invoice description breaks the automation, forcing manual correction. Bill.com is effective for standard, single-line-item invoices but struggles with project-based cost allocation or matching invoices against multi-line purchase orders.

Consider an accountant at your firm handling 1000 transactions a month. On a Friday afternoon, they receive 50 vendor invoices. Ten are from a new contractor in a PDF format the OCR in Bill.com has never seen. The tool misreads the line items, confusing quantities with unit prices. The accountant must then spend two hours manually re-keying data, cross-referencing project codes in a separate spreadsheet, and ensuring the general ledger codes are correct in QuickBooks. This one batch of invoices delays client reporting by a day.

The structural problem is that off-the-shelf AP tools are built for a generic business, not an accounting firm serving dozens of unique clients. Their data models are fixed. You cannot create a rule that says, "For Client A, if the vendor is 'ABC Supply' and the PO number is referenced, allocate 70% to 'Materials' and 30% to 'Labor'." This client-specific logic is impossible to implement, forcing your highly-skilled staff into low-value data entry.

The result is a hard cap on the number of clients a single bookkeeper can manage. This process also introduces a 5-10% error rate from manual coding, which creates costly rework during reconciliation and delays month-end closing.

The engagement starts with a detailed audit of your current AP/AR workflow for a few key clients. We map every step from invoice receipt in an email inbox to the final approved bill in your accounting ledger. Syntora has already built and deployed financial systems that connect Placid, Stripe, and a PostgreSQL ledger, so we understand the data structures and security requirements. That real experience informs a practical scope document you can approve before any code is written.

The technical approach uses Python and the Claude API for intelligent document processing, which accurately extracts line-item detail from any PDF invoice, far surpassing basic OCR. This data is fed into a FastAPI service that contains your firm's custom business logic. The service connects directly to the QuickBooks Online or Xero API to create draft bills. We use Pydantic schemas to ensure data is validated and correctly formatted before it ever reaches your accounting system.

The delivered system monitors a dedicated inbox or folder for new invoices. When a document arrives, the system processes it in under 60 seconds, creating a pre-filled, correctly coded draft bill in your accounting software. Each entry includes a confidence score. Your team's job shifts from hours of tedious data entry to 15 minutes of efficient review and approval for low-confidence items.