Nicolas Kopp, CEO of Rillet, argues that traditional ERP systems are outdated and inadequate for today’s AI-driven landscape. During a conversation on the Unpack Pricing podcast, he highlights that legacy ERPs have become fragmented data repositories, failing to serve as reliable sources of truth. This fragmentation creates obstacles for modern workflows and automation, which rely on clean, integrated data. Kopp emphasizes that a new approach is essential, one that leverages AI and efficient data management to unlock automation potential in finance. Rillet aims to rebuild ERP systems from the ground up, focusing on a clean data architecture that supports automation. The company is backed by major investors like Sequoia and Andreessen Horowitz and has already gained a number of customers since emerging from stealth mode. Kopp points out that many current systems are decades old, making them ill-equipped to handle the demands of modern businesses. By creating a platform designed from the start for AI integration, Rillet seeks to streamline processes and improve accuracy, particularly in accounting, where traditional systems often struggle. The conversation also touches on the challenges companies face when transitioning to AI-first systems, including the reluctance of CFOs to commit to long-term contracts due to changing market dynamics. Kopp notes that many customers are leaving established players like NetSuite and Oracle, seeking solutions that can adapt quickly and effectively to their needs. The shift from traditional sales models to performance-based pricing reflects this demand for agility and efficiency in financial systems.