Priority Software Launches AI-First ERP With Embedded “aiERP Companion”

New V26.0 release introduces conversational interface and specialized AI agents for finance, supply chain, and operations automation

Priority Software Launches AI-First ERP With Embedded “aiERP Companion”

Sagive Greenspan, CEO of Priority. Photo: Ays and Avi Photographers

Priority Software, an Israeli provider of cloud-based ERP and business management solutions, has launched Priority ERP V26.0, a new release centered on its embedded artificial intelligence strategy first introduced in 2025.

At the core of the update is the aiERP Companion, an in-system AI layer designed to work alongside users inside the ERP environment. The company has also introduced a growing set of specialized AI agents embedded across key modules, including finance, sales, and supply chain management.

According to Priority, the agents are designed to analyze data, validate and enrich information, and execute operational tasks such as creating journal entries, processing receipts, managing invoice workflows, setting up vendors and products, generating purchase orders, and supporting inventory checks, counts, and forecasting. The company says the system is intended to reduce manual data entry and streamline cross-departmental workflows.

The aiERP Companion allows users to interact with the system using natural language commands to request actions, approve processes, and retrieve insights, with the goal of speeding up task execution and reducing errors.

Priority said the architecture is designed to expand over time, with additional agents and capabilities planned in future releases. These are expected to include anomaly detection, cash collection forecasting, and automated workflow triggers, moving the platform toward more real-time operational intelligence.

“Our focus is outcomes,” said Sagive Greenspan, CEO of Priority. “The aiERP Companion and specialized agents analyze signals, trigger workflows, and execute routine operations inside the ERP, reducing manual effort while improving decision quality and on-time performance across the business.”