ERP automation refers to the use of intelligent systems to streamline and execute the financial and operational processes typically managed within Enterprise Resource Planning platforms. Instead of relying on manual data entry, spreadsheet manipulation, or repetitive reconciliations, automation enables ERPs to operate as real-time, interconnected hubs where information flows continuously and reliably across all back-office functions.
In finance teams, ERP automation often focuses on tasks such as synchronizing supplier invoices, updating payment statuses, matching purchase orders with deliveries, or standardizing accounting entries across multiple entities. While traditional ERPs store data, they are not designed to interpret documents, detect anomalies, or connect autonomously with other tools. This is where AI-powered workflows fundamentally extend what an ERP can do.
Phacet enhances ERP automation by acting as an intelligent layer above the existing systems. Agents can extract structured data from PDFs, normalize formats, flag discrepancies, and push clean, validated records directly into the ERP without human intervention. This reduces manual workload, accelerates month-end closing, and strengthens data reliability across finance operations. Companies using Phacet typically experience smoother reconciliations and more consistent financial reporting because ERPs are fed with high-quality inputs from the start.
To understand how automated ERP workflows fit into a modern AI-enabled finance stack, explore how Phacet structures, validates, and synchronizes data across tools through its AI agents for financial operations.