The traditional enterprise resource planning (ERP) software model is being challenged as too monolithic, complex, and expensive for today's fast-paced business environment. In a groundbreaking new white paper, Rimini Street has declared this model obsolete and unveiled a visionary alternative designed to deliver innovation faster, better, and more affordably.
Rimini Street's new white paper, "The Rise of Agentic AI ERP," declares traditional ERP suites dead due to their high cost and inflexibility.
It introduces "Agentic AI ERP," a new technology layer deployed over existing ERP software that requires no disruptive, costly upgrades.
This approach uses autonomous AI agents to orchestrate business processes across systems, enhancing agility and delivering significant labor cost savings.
Organizations can extend the life of their current ERP investments until at least 2040 by adopting this overlay strategy.
The solution is designed for deployment within existing IT budgets, with time-to-value measured in weeks, not months or years.
Dozens of global clients are already implementing this "Transformation without Disruption" model with reported extraordinary outcomes.
The comprehensive white paper, "The Rise of Agentic AI ERP," was developed by over 30 global experts and leaders at Rimini Street. It presents a bold roadmap that moves beyond the decomposing traditional ERP model. The core argument is that ERP is evolving from a rigid product into a dynamic process, where innovation can be efficiently layered over existing, stable systems.
Seth Ravin, president and CEO of Rimini Street, solidified the company's position, stating, “The Rise of Agentic AI ERP white paper represents the official Rimini Street position on the future of ERP. We believe ERP is evolving from a product to a process, and innovation should be efficiently layered over existing systems in a unified approach—not forced into disparate silos through costly upgrades. This paper is a blueprint for organizations to transform intelligently and efficiently.”
The white paper delivers several key insights, including why continued ERP upgrades offer little value, how to build Agentic AI enhancements on current software, and a vision for autonomous AI agents orchestrating business processes. This architecture grants IT organizations unprecedented flexibility to create value and adopt a more proactive approach to innovation.
Rimini Street is not just presenting a theory; it is already implementing this vision with clients. Dozens of leading global organizations have launched their Agentic AI ERP projects with Rimini Street. According to Vijay Kumar, chief innovation officer, business outcomes are already proving extraordinary, with companies achieving faster workflows and enterprise-wide AI orchestration to speed ahead of competitors.
This new model represents a fundamental shift in enterprise technology strategy, allowing businesses to protect their existing IT investments while aggressively adopting AI-driven automation and intelligence. It provides a practical path to modernization that avoids the high risk and cost of full-scale system replacements.
The future of enterprise systems is intelligent, agile, and layered. Rimini Street's Agentic AI ERP provides a tangible roadmap for organizations to break free from the constraints of traditional ERP, enabling them to adapt rapidly, reduce costs, and fund meaningful innovation without disruption. The white paper serves as a critical guide for executives seeking greater profitability and growth in the age of AI.
Rimini Street, Inc., a Russell 2000® Company, is a proven, trusted global provider of end-to-end, mission-critical enterprise software support, managed services and innovative Agentic AI ERP solutions, and is the leading third-party support provider for Oracle, SAP and VMware software. The Company has signed thousands of IT service contracts with Fortune Global 100, Fortune 500, midmarket, public sector and government organizations who have leveraged the Rimini Smart Path™ methodology to achieve better operational outcomes, billions of US dollars in savings and fund AI and other innovation.
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