Agentic AI ERP: From Concept to Impact

Jon Mulder
Product Marketing Director, Innovation Solutions
3 min read

The number one question I get from IT leaders these days is, “Where do I start with AI?” What I’ve found is that AI isn’t a one-and-done; it’s a series of small shifts that eventually yield a fully AI-enabled enterprise. And you don’t need to wait for a vendor roadmap or take on a major ERP migration to start seeing value from AI capabilities. By layering Agentic AI on top of existing systems of record, IT leaders can preserve the stability of their ERP backbone while creating systems of action that automate workflows, orchestrate decisions and deliver measurable outcomes faster.

In the video snippets below, you’ll see how this approach can help you move from strategy to architecture to real-world results. Hosted by MIT Technology Review in partnership with Rimini Street, this three-part on-demand LinkedIn Live series explores how Agentic AI can help organizations extend the value of existing ERP systems without taking on the cost, risk and disruption of a major migration. The sessions feature Rimini Street experts, industry analysts and real clients discussing their AI outcomes and how they got there with Rimini Street.

These educational sessions will take you through first defining what Agentic AI ERP is, then showing how systems of action can be architected on top of ERP systems of record and finally demonstrating what real-world implementation and business results can look like in practice. Whether you’re shaping strategy, evaluating architecture or planning execution, the series offers a clear path from concept to impact.

Session 1: From Systems of Record to Systems of Action

The first session establishes the foundation for the series by examining why traditional ERP systems, while essential for stability and compliance, were not designed to act in real time. As AI changes how work gets done and decisions get made, organizations need a new model that preserves the strengths of ERP while enabling more intelligent, action-oriented capabilities on top of it.

Brian Bryson, MIT Technology Review host, is joined by Rimini Street’s Eric Helmer (EVP and Global CTO) and Ray Wang (Founder and Principal Analyst, Constellation Research) to explore how Agentic AI is redefining ERP’s role and provides leverage against upgrade cycles and migration pressure. It’s a strong starting point for executives seeking to understand the strategic case for Agentic AI ERP before moving on to architecture and execution.

Watch the full session

Session 2: Architecting Systems of Action

The second session moves from strategy to structure. Once leaders understand the benefits of Agentic AI ERP, the next question is how to design it. This discussion focuses on the architecture of systems of action that sit above ERP systems of record, interpret signals, coordinate workflows and support timely decisions without compromising governance or control.

Featuring Rimini Street’s Hélio Kazuo Matsumoto (Regional CTO for Latin America) and George Goosen (Group VP of Innovation Solution Delivery) with Brian Bryson (Principal Technology Analyst, MIT Technology Review), the session brings the concept into a more practical frame, unpacking what it takes to operationalize AI in the enterprise while maintaining the reliability ERP environments demand. For organizations evaluating where intelligence should live and how systems of action work in practice, this session connects the vision to a workable blueprint.

Watch the full session

Session 3: Agentic AI on ERP — A CIO’s Implementation Playbook

The third session brings the conversation into the real world, showing what organizations can expect when they put Agentic AI ERP into action. Rather than staying at the level of theory, it examines the practical decisions, integration considerations and operational realities involved in introducing AI-driven capabilities on top of existing ERP systems.

With insights from Geraldo Pereira (CIO, Ypê) and Edenize Maron (GM & LATAM, Rimini Street), alongside Brian Bryson (Principal Technology Analyst, MIT Technology Review), learn how the Brazilian consumer packaged goods leader successfully reduced approval cycles by 60%, sped up exception handling and accelerated time-to-value without replatforming ERP. For CIOs and business leaders focused on outcomes, this session offers a practical view of the results Agentic AI ERP can unlock.

Watch the full session

Start Building Your Agentic AI ERP Roadmap

Together, these three MIT Technology Review LinkedIn Live sessions create a useful roadmap for IT leaders exploring Agentic AI ERP — from understanding the shift, to designing the model, to seeing measurable business impact. Select a session based on your immediate priorities or watch the full series to get a complete picture of how organizations can move from concept to execution with greater confidence.

Watch the full series:

Session 1: From Systems of Record to Systems of Action

Session 2: Architecting Systems of Action

Session 3: Agentic AI on ERP – A CIOs Implementation Playbook

Key takeaways

By layering systems of action on top of existing systems of record, organizations can preserve ERP stability while automating workflows, orchestrating decisions and unlocking faster outcomes. Across the three-session MIT Technology Review series, Rimini Street experts, analysts and clients explain the shift, architecture and real-world implementation path for Agentic AI ERP.

Start your journey now with Session 1: From Systems of Record to Systems of Action

FAQs

What is Agentic AI ERP?

Agentic AI ERP is an approach that layers AI-driven systems of action on top of existing ERP systems of record. It helps organizations automate workflows, coordinate decisions and drive faster outcomes without replacing the ERP backbone they rely on for stability, compliance and control.

How can organizations get started with Agentic AI ERP without migrating ERP systems?

Organizations can begin by identifying high-friction workflows where AI can support decisions, automate steps or accelerate approvals. By building agentic AI capabilities around existing ERP data and processes, IT leaders can show value incrementally while avoiding the cost, risk and disruption of a major ERP migration.

What business outcomes can Agentic AI ERP help deliver?

Agentic AI ERP can help organizations shorten approval cycles, speed exception handling, improve operational responsiveness and accelerate time-to-value. The MIT Technology Review series shows how this model can move AI from strategy to architecture to real-world ERP impact.

About the author

About the author

Jon Mulder

Product Marketing Director, Innovation Solutions

Mr. Mulder serves as Product Marketing Director for Innovation Solutions at Rimini Street. In this role, he leads go-to-market strategy, positioning, and messaging for Rimini Street’s portfolio of AI automation, agentic AI, low-code, and integrated consulting solutions.

He is responsible for driving market adoption, enabling sales and partner ecosystems, and ensuring clients achieve measurable business value from innovation offerings.

Mr. Mulder has more than 20 years of product marketing and platform strategy leadership across companies including Sony Ericsson, Lenovo, Contentful and AT&T.

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