Enterprise software is undergoing a structural shift. AI-native ERP platforms are redefining financial control, operational orchestration, and enterprise decision-making. Unlike legacy ERP systems, which rely on rigid workflows and manual data entry, AI-native ERP embeds intelligence directly into the transactional core. As a result, organizations can automate workflows, enforce business rules, and improve data integrity in real time. This shift also changes implementation timelines, user interaction models, and the long-term economics of ERP ownership. Therefore, ERP selection today requires a deeper understanding of architecture, data models, and AI-driven process orchestration.

In this webinar, we deliver an independent, in-depth review of Everest ERP, a leading AI-native ERP platform. First, we examine Everest ERP’s architecture, including its AI-first design, automation capabilities, and data orchestration framework. Next, we analyze how Everest ERP compares with traditional ERP systems and other emerging AI-native ERP platforms. We focus on structural capabilities, not just features. This includes scalability, governance, financial automation, and operational control. As a result, decision-makers will gain clarity on where Everest ERP fits within the evolving ERP landscape.

Finally, we connect Everest ERP’s capabilities to real ERP selection decisions. You will learn how to evaluate readiness for AI-native ERP. You will also understand where AI-native ERP delivers the greatest strategic value. In addition, we explain how to avoid common ERP selection mistakes caused by legacy evaluation frameworks. Whether you are evaluating Everest ERP or researching AI-native ERP platforms, this session provides a clear, architecture-centric framework. Consequently, you will be able to make faster, more confident, and future-ready ERP selection decisions.

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