ALPHA Pay is our productized AP automation platform — built on Microsoft Power Apps and Power Automate, integrated with QuickBooks Online, and deployed for businesses processing hundreds of invoices a month.
See it live: approvals route through Teams, invoices extracted by AI, data syncs to QuickBooks automatically.
If your team is processing more than 50 invoices per month, manual AP workflow is costing your business real money — in labor, in errors, in delayed approvals, and in fraud exposure.
The average business spends 8–12 minutes processing a single invoice manually. At 200 invoices per month, that's 30+ hours of labor that could be eliminated entirely. And that's before accounting for errors, duplicate payments, and the risk of invoice fraud.
Manual data entry, email chasing, and approval tracking consume hours your team doesn't have.
Manual keying creates errors — duplicate payments, wrong amounts, missed discounts. Each costs money to find and fix.
Invoice fraud is common and growing. Automated systems catch anomalies that tired humans miss.
Invoices arrive by email or upload. AI extracts vendor name, amounts, line items, due dates, and PO numbers — accurately, in seconds. No manual keying.
Approvals route automatically to the right person through Microsoft Teams and Outlook — based on your existing approval rules. One click to approve or query. No new software logins.
Approved invoices sync to QuickBooks Online automatically. No re-keying, no copy-paste, no reconciliation surprises. Your books stay current in real time.
ALPHA Pay is sold as a fully-deployed, supported solution. Implementation included. No per-transaction fees.
For businesses processing 50–150 invoices per month. Core AI extraction, Teams approval routing, QuickBooks sync.
For businesses processing 150–500+ invoices per month. Multi-location, multi-entity, advanced reporting, and custom approval workflows.
Book a 30-minute live demo. We'll show you invoice extraction, Teams approval routing, and QuickBooks sync in real time — with your actual use case in mind.