AI-native ERP platforms are challenging long-held assumptions. They are challenging assumptions about what an ERP system is, how it should be implemented, and where true differentiation comes from. DualEntry is one of the most visible examples of this emerging category. They position themselves as an AI-first alternative to traditional ERP architectures designed around human-centric workflows.

In this independent, in-depth review, we examine DualEntry through the lens of a real-world ERP selection project. Rather than relying on vendor marketing narratives, this session evaluates DualEntry across multiple evidence points. Evaluation points include its underlying data model, product design philosophy, investor portfolio alignment, and publicly stated claims. They also include customer stories, online community discussions, and user reviews.

We contrast DualEntry’s approach with other ERP platforms—both AI-native and traditional. This would help buyers understand where AI-native systems deliver meaningful advantages. This will also help understand where tradeoffs, constraints, and longer-term risks may emerge.

This webinar is designed for executives, ERP buyers, and selection teams seeking a rigorous, selection-ready framework. It will help determine whether AI-native ERP platforms like DualEntry align with their business model, industry complexity, and market segment.

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