The discussion around Agentic AI and AI Agents within ERP systems is almost always accompanied by one critical question:
How safe is it to allow an AI agent to participate in a company’s business processes?
And this is a perfectly reasonable concern.
ERP systems sit at the core of every organisation’s operations. They host financial data, commercial information, customer and supplier records, and critical business processes. When Artificial Intelligence begins to take an active role within this environment, the discussion around security moves from being a technical issue to becoming a business priority.
However, the conversation often focuses on the wrong aspects. Security in Agentic ERP is not only about protecting data. It is equally about the reliability of decisions and the control of actions executed within the organisation. And this is where the real challenge lies.
The first dimension: Data security
The first concern most businesses raise is completely understandable: where does my data go when I use AI?
The widespread use of public AI services has created legitimate concerns around the use of corporate information. No organisation wants financial figures, commercial agreements or sensitive customer data to be used for training general artificial intelligence models. For this reason, the architecture of a modern Agentic ERP must be based on one fundamental principle: the company’s data remains the company’s data.
User interaction with the ERP should not become a mechanism for training public AI models. Information must remain isolated, protected and fully controlled by the organisation that generates it. This is now a basic requirement of trust, not simply a technical specification.
Of course, the issue becomes more complex when businesses want the system to improve through daily use. For example, during the automatic processing of invoices or PDF documents, an AI agent may be able to recognise the specific characteristics of certain suppliers, understand different document formats or gradually improve the accuracy of its results. This capability creates significant business value. At the same time, it raises important questions about where this knowledge is stored.
The learning that comes from a company’s own processes must remain exclusively within that company’s environment. It should not be shared, reused or transferred to other organisations. In other words, the system can learn, but it must learn only on behalf of the organisation that uses it.
Business knowledge is a company asset and should be treated as such.
The second dimension: Decision security
Data protection is only one side of the equation. The second, and often more critical, dimension concerns the decisions made through an Agentic ERP. As AI agents evolve, their ability to recommend actions, execute processes and take initiatives also increases. Therefore, we need to define how far an AI agent should be allowed to act autonomously.
It is one thing for an agent to automatically classify incoming documents. It is something entirely different for it to approve payments, change customer credit limits or make decisions with financial or business impact.
The more business-critical an action becomes, the greater the need for human oversight. This is why the Human in the Loop model remains fundamental to the future of Agentic ERP systems.
The role of Artificial Intelligence is not to replace managerial responsibility. It is to accelerate analysis, reduce execution time and support better decision-making.
Final responsibility, especially when there is financial or business impact, remains with people.
The future is not uncontrolled autonomy
As Agentic ERP systems continue to evolve, it is easy to assume that the final destination is full autonomy. But the real value does not lie in removing people from the equation. It lies in creating a collaboration model where people and AI agents make use of each other’s strengths.
This is also the direction behind EPSILONNET Group’s strategic investment in Artificial Intelligence. Through EPSILON AI Services, AI capabilities are gradually being embedded across the Group’s wider solution ecosystem: from PYLON flex, the Group’s web Agentic AI ERP & CRM, to PYLON Hybrid and Galaxy, the ERP platforms for medium-sized and large enterprises, as well as EPSILON SMART, the leading web invoicing application for freelancers and self-employed professionals, and EPSILON DIGITAL, the certified provider of electronic invoicing and digital document circulation.
The objective is not simply to add new technological capabilities. It is to create real value in the daily operation of businesses, in a way that is meaningful, controlled and reliable, while keeping people at the centre of oversight, responsibility and decision-making.
This is why the greatest challenge for Agentic ERP is not to become more intelligent. It is to become reliable enough for businesses to trust it.
And in the world of enterprise software, trust has always been the most important feature of all.
Stavros Kassidis
R&D Department Manager