AI-native ERP platforms are reshaping long-standing assumptions about what ERP systems’ design optimizes. They are changing how ERP is built, deployed, and differentiated. Rillet represents a new class of AI-native ERP platforms built on fundamentally different architectural assumptions. Unlike legacy systems with AI added as a layer, Rillet is designed from the ground up. Its design uses AI-native principles that may materially reshape enterprise architecture and the ERP category itself.

In this independent, in-depth webinar, we evaluate Rillet using a real-world ERP selection methodology. The analysis goes well beyond vendor marketing. We assess Rillet across multiple evidence points, including its data model, architectural philosophy, and target customer profile. Other evidence points include workflow design, integration strategy, and investor alignment. Public claims, customer signals, and early market feedback provide additional insights. The objective is not to validate hype, but to understand how Rillet performs against the criteria. The criteria that matter most in ERP selection decisions.

Next, we place Rillet in the market context. We contrast its approach with other AI-native ERP platforms as well as more traditional ERP systems. This comparison highlights where a finance-first, AI-native ERP may be a strong fit today, and where maturity gaps, constraints, or limited installed base should be a consideration.

This session helps executives, CFOs, ERP buyers, and selection teams understand Rillet’s capabilities. It provides a rigorous, selection-ready framework to evaluate whether platforms like Rillet align with an organization’s business model, operational complexity, and growth trajectory.

Register to save a spot today!