For decades, ERP systems served as the backbone of enterprise operations. They enabled process consolidation, reduced data silos, and strengthened financial control. However, these systems also introduced structural tradeoffs. Implementations took longer. Data models became rigid. Skill requirements increased.
Even simple reports or customizations became expensive. As organizations enter 2026, tolerance for these constraints is fading. Markets move faster. Capital discipline is tighter. User expectations now reflect modern SaaS experiences.

Meanwhile, the ERP landscape is changing rapidly. Economic uncertainty and shifting business models are raising pressure on IT decisions. At the same time, AI capabilities are advancing quickly. Traditional on-prem, cloud-migrated, and cloud-native vendors are responding in familiar ways. Many rely on marketing narratives, agentic overlays, or acquisitions. In parallel, AI-native platforms are challenging core ERP assumptions. They question rigid data hierarchies, transactional boundaries, and system design norms. This session separates true architectural change from superficial modernization. It also clarifies where AI-native vendors can—and cannot—disrupt the market.

Finally, the webinar offers a practical framework for buyers. We define what an AI-native platform truly is—and what it is not. Then, we explain how AI is reshaping the ERP architecture stack. We also examine new risks. These include data integrity, governance gaps, scalability limits, and vendor maturity concerns. Attendees gain a structured approach to reassessing business models and architectures. The goal is clarity, not hype. AI must support a compelling business case.

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