AI-native ERP platforms are rapidly changing how organizations design systems, automate processes, and support decision-making. Traditionally, ERP vendors added AI as a layer on top of legacy architectures. In contrast, AI-native ERP platforms embed intelligence directly into the data model and core workflows. Because of this shift, ERP selection criteria are evolving. Expectations around speed are higher. Assumptions about scalability are different. Therefore, ERP buyers must rethink how they evaluate modern ERP platforms in an increasingly AI-driven landscape.

In this context, Campfire has emerged as a notable AI-native ERP platform. In this webinar, we provide an independent, in-depth review of Campfire and its position within the AI-native ERP market. Specifically, we examine its architecture, automation approach, and overall design philosophy. At the same time, we compare Campfire to traditional cloud ERP systems and newer AI-forward entrants. As a result, attendees gain clear, practical insight without vendor bias.

Ultimately, the session connects product capabilities to real ERP selection decisions. To that end, we explore where Campfire is best suited and where constraints may arise. Additionally, we discuss how AI-native design choices affect governance, extensibility, and long-term operational fit. By doing so, this webinar helps decision-makers move from initial curiosity to informed, confident ERP evaluation.

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