As organizations embed AI into core business processes, trusted data, compliance, and governance become more critical, as AI cannot scale safely without them. Leaders face the challenge of modernizing back-office systems to capture AI-driven value while avoiding long-term architectural risks. For many, an ERP serves as the primary system of record, providing the trusted data AI depends on. Deloitte technology leaders across Canada and globally state that the future of ERP is reinvention around a stable core, not replacement. Gartner predicts that by 2030, more than half of foundational ERP tasks will be autonomously executed by AI, yet by 2027, only 30% of organizations are expected to have the data quality required to fully leverage advanced AI capabilities. AI increases the value of trusted enterprise data, making the ERP's role as system of record more important. Without a clean core, AI lacks governed data, controls, and auditability. Leading organizations will separate stable core processes from rapidly evolving innovation layers. AI creates most value in repeatable, rules-based, lower-risk activities, including workflow automation, agentic workflows spanning multiple systems, and automated orchestration of business processes. ERP is evolving from a repository of back-office data toward a platform enabling AI orchestration. Competitive differentiation is shifting from core ERP capabilities to the AI-driven intelligence, automation, and experiences layered around it.