TLDR: A US software firm, Rimini Street, has introduced ‘Agentic AI ERP,’ asserting that traditional ERP systems are becoming obsolete. This new paradigm leverages autonomous AI agents to orchestrate business processes over existing ERP platforms, promising enhanced agility, intelligence, and significant cost savings through a ‘Transformation without Disruption’ model.
A significant shift in enterprise technology is underway as a leading US software firm, Rimini Street, unveils its ‘Agentic AI ERP’ system, boldly declaring the obsolescence of traditional Enterprise Resource Planning (ERP) software. This announcement, highlighted in the company’s latest white paper, ‘The Rise of Agentic AI ERP,’ posits that the conventional ERP suite has reached its peak in capability, struggling with complexity, inflexibility, and high costs in a rapidly evolving business landscape.
Agentic AI ERP introduces a ‘Transformation without Disruption’ model, deploying intelligent, AI-driven layers over existing ERP platforms. This innovative approach enables autonomous decision-making and orchestration across various departments, including procurement, finance, human resources, and supply chain management. These AI agents, built on microservices and API-first architectures, are designed to learn, adapt, and act independently across systems, transforming ERP from a static data repository into an exception-driven, intelligent platform.
According to Rimini Street, this next-generation technology offers substantial benefits, including greater agility, enhanced intelligence, and measurable outcomes. Organizations can extend the useful lifespan of their current ERP software, potentially through 2040, by investing in an Agentic AI ERP layer. This deployment is touted to deliver value in weeks, not months or years, with nominal investment and minimal risk, leading to significant labor cost savings.
Seth Ravin, President and CEO of Rimini Street, stated, ‘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.’ Vijay Kumar, Chief Innovation Officer at Rimini Street, added, ‘Dozens of leading organizations around the world have launched their ‘Transformation without Disruption’ Agentic AI ERP projects with Rimini Street, looking to embed AI use cases that automate decisions, streamline workflows and enable autonomous execution, and the business outcomes are already proving extraordinary.’
The concept of Agentic AI in ERP signifies a move beyond scheduled tasks and rigid rules towards systems that can detect anomalies, assess context, and act within governed boundaries. This allows machines to handle routine operations and resolve standard deviations autonomously, freeing human employees to focus on strategic tasks and exceptions. McKinsey’s 2025 ‘State of AI’ report indicates that 78% of organizations already deploy AI in at least one business function, signaling this fundamental shift.
However, not all industry experts fully agree on the ‘death’ of traditional ERP. Conor Riordan, chair of the UK and Ireland SAP User Group, suggests that ‘ERP is not dying, it’s evolving quickly.’ He believes core ERP foundations will remain intact, augmented by AI to enhance automation, adaptability, and insight. Furthermore, the adoption curve for agentic AI is still early, with a BearingPoint study in the UK showing 17% of organizations are learning about agentic concepts, and only 12% are scaling systems enterprise-wide.
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Challenges and risks also exist. Gartner warns of potential ‘agent-washing,’ where suppliers rebrand chatbots as agents without delivering true autonomy, and predicts that over 40% of agentic AI projects could be canceled by 2027 due to high costs and unclear business value. Despite these concerns, the drive towards Agentic AI reflects a broader industry trend where businesses are seeking to operate at unprecedented speeds, adapt in real-time, and reduce human workload by augmenting, rather than replacing, human capabilities.
