Improve Cash Flow by Automating Accounts Receivable

Most small businesses use the accounts receivable features in QuickBooks Online or Xero. These tools send reminders on a fixed schedule, like 7 days before and 3 days after an invoice is due. This one-size-fits-all logic fails because it cannot adapt its strategy. It treats a $500 invoice to a 10-year client the same as a $20,000 invoice to a brand new one, sending the same generic email to both.

Consider a 15-person consulting firm that invoices clients through Stripe. While Stripe is effective for collecting credit card payments, it creates an information silo. If a client pays a Stripe invoice via an ACH transfer, the payment appears in the bank account but the Stripe invoice remains marked as 'unpaid'. A bookkeeper must then spend 8-10 hours a month manually cross-referencing bank statements from their Chase account with open invoices in Stripe, creating a 2-day delay in recognizing cash and skewing financial reports.

The structural problem is that these off-the-shelf accounting platforms are closed systems. They are not built to ingest and act on external data in real time. You cannot configure QuickBooks to check your bank account for a payment before sending a 'late payment' reminder. You cannot write a rule in Xero that says, 'For invoices over $10,000, send a personalized email from the account manager's address instead of the generic billing@company.com address'. The systems lack the API-first, event-driven architecture needed for true collection intelligence.

The first step is a discovery process to map your company's full order-to-cash cycle. We identify where invoices are created, all the ways you receive payments (Stripe, ACH, wire, check), and the exact business logic you want for follow-ups. This audit produces a clear data flow diagram and a set of rules that become the specification for the build. You see the complete plan before any code is written.

For the technical build, we would deploy a Python service using FastAPI on AWS Lambda. This service acts as the central brain. It would use the QuickBooks API to pull new and overdue invoices every 15 minutes. It would then use Plaid to scan your bank transactions for incoming payments, using a matching algorithm to link deposits to specific invoices with over 99% accuracy. For our own financial syncs, we built a similar Express.js service that processes bank data from Plaid in under 3 seconds.

The delivered system runs in your own cloud account and integrates directly with your existing tools. When the system identifies a paid invoice, it marks it as 'Paid' in QuickBooks automatically. When an invoice is overdue, the system executes your custom logic, sending emails via Postmark for high deliverability or creating a task in your project management tool for manual review. You get a simple monitoring dashboard, the complete source code, and a runbook detailing how to manage the system.