WBSRocks: Scaling Growth with AI, Enterprise Software, and Digital Transformation WBSP829: Scale Growth by Understanding Rillet’s Capabilities, an Objective Panel
AI-native ERP platforms are fundamentally redefining the architectural assumptions that have governed ERP systems for decades, shifting the focus from rigid transaction processing toward adaptive, intelligence-driven orchestration. Unlike legacy ERP systems that retrofit AI as an auxiliary feature, platforms such as Rillet are engineered with AI embedded at the core, enabling native reasoning over financial, operational, and contextual data. This architectural inversion changes how ERP systems are deployed, configured, and differentiated, allowing them to automate workflows, infer relationships, and dynamically adapt to business conditions without relying on extensive manual configuration or brittle customization layers. As a result, AI-native ERP platforms represent not just incremental innovation but a structural shift in enterprise architecture, with the potential to redefine how organizations manage processes, scale operations, and extract decision-grade intelligence from their core systems.
In this episode, Sam Gupta and Shrestha Dash from ElevatIQ, Andy Pratico from Essential Software Solutions, and Phil Coerper from Ringling Business Solutions conduct an in-depth independent review of a leading AI-native platform Rillet.
Video: https://www.elevatiq.com/events-and-webinars/rillet-an-independent-review/
Questions for Panelists?
🔗Sam Gupta: linkedin.com/in/samguptausa/
🔗Phil Coerper: https://www.linkedin.com/in/philcoerper09/
🔗Andy Pratico: https://www.linkedin.com/in/andy-pratico-80175410/
🔗Shrestha Dash: https://www.linkedin.com/in/shrestha-dash-662b00204/
Background Soundtrack: Away From You – Mauro Somm
For more information on growth strategies for SMBs using ERP and digital transformation, visit our community at wbs. rocks or elevatiq.com. To ensure that you never miss an episode of the WBS podcast, subscribe on your favorite podcasting platform.