How Infomazebuilt a fully automated AP pipeline for a distribution business — multi-source document intake, AI extraction, three-way PO matching, configurable approval routing, and direct posting into Zoho Books. As Authorised Zoho Partners, they built deep into the API — not just surface-level integration. The client and the problem The client is a mid-sized distribution business managing procurement across 40+ active suppliers. Their accounts payable process was entirely manual: invoices arrived through email, WhatsApp forwards, supplier portals, and paper scans faxed from their warehouse. Each one landed with a different team member, who would then manually key the data into Zoho Books and chase the relevant purchase order for matching. With 700–900 invoices processed per month, the AP team of three was perpetually behind. Discrepancies between purchase orders and invoices were caught late — sometimes after payment had already been made. Duplicate invoices slipped through when...
Every software team wants faster releases without compromising quality. Yet many QA teams find themselves spending more time maintaining tests than improving product quality. If any of these signs sound familiar, it may be time to introduce AI into your testing process. 1. Regression Testing Takes Too Long If every release requires days of regression testing, development slows down. AI helps prioritize critical tests and automate repetitive validation. 2. Automation Scripts Constantly Break Small UI updates shouldn't require hours of script maintenance. Modern AI-assisted testing can reduce maintenance by adapting to application changes and identifying unstable test cases. 3. Your QA Team Is Overloaded As products grow, manual testing becomes increasingly difficult to scale. AI helps automate repetitive work so QA engineers can focus on complex scenarios and exploratory testing. 4. Bugs Keep Escaping into Production Recurring production issues often indicate testing gaps. AI can an...