euro2day | June 2026
The discussion around Artificial Intelligence (AI) has moved well beyond the question of whether organizations should adopt it. The real question for businesses today is far more meaningful: where does AI create measurable business value?
For many Greek companies using platforms such as Microsoft Dynamics 365 Business Central or proprietary ERP solutions like PYLON ERP and Galaxy ERP from the EPSILONNET Group, the question is no longer technological. It is fundamentally operational and strategic.
And this is precisely where the challenge lies.
According to Gartner and other leading consulting firms, more than 70% of digital transformation and ERP projects fail to fully achieve their business objectives. They do not fail as implementation projects; they fail as performance-enabling tools. The main reason? Most ERP systems continue to operate as systems of record for the past, rather than as systems that support decision-making.
From Data to Insight (Decision Support)
Today, most organizations are data-rich. They possess structured data, sophisticated dashboards, and real-time access to information. Yet despite this abundance, many critical business decisions are still made based on experience and intuition.
The challenge is not the lack of information; it is the gap between data and decision-making.
This is where AI changes the rules of the game—not merely as another automation tool, but as a mechanism for enhancing business judgment.
In a modern ERP environment, AI does not simply execute tasks; it provides recommendations and insights such as:
- Cash flow forecasting based on actual payment patterns rather than assumptions.
- Dynamic inventory optimization, reducing working capital requirements.
- Pricing recommendations adjusted to real-time market conditions.
- Early identification of deviations and anomalies before they evolve into operational issues.
We are no longer talking about reporting. We are talking about decision support.
Where Is the Real ROI Measured?
Organizations frequently ask how the return on investment from AI can be quantified.
Gartner predicts that cloud ERP solutions with embedded AI capabilities will enable organizations to achieve up to 30% faster financial close processes in the coming years. While this is a significant KPI, the real value of AI extends far beyond accounting efficiency.
Market metrics are clear:
- 20–50% improvement in demand forecasting accuracy through AI-driven analytics (Gartner).
- Meaningful ERP implementation ROI typically achieved within 6–12 months (ERP industry standard).
The true ROI comes from faster decisions, fewer errors, better capital utilization, and greater predictability. In other words, it comes from improving the quality of management and decision-making.
The Leadership Challenge
Despite AI’s potential, many organizations fail to realize the expected benefits.
The reason is simple: they attempt to layer AI onto outdated processes. AI is not a magic wand that can fix inconsistent data or a lack of standardization.
AI cannot operate effectively in an environment where decision-making is not driven by KPIs.
Leveraging AI within an ERP system is not merely a technology upgrade. It is a management decision. It requires trust in data, clearly defined performance indicators, and, above all, a shift in organizational culture.
Without these foundations, even the most advanced systems risk becoming expensive decorations in the CFO’s office.
Conclusion
The businesses that will stand out over the next five years will not necessarily be those that invest first in AI implementation. They will be the organizations that use AI to improve and elevate their decision-making processes.
In an environment where information is readily accessible to everyone, the real competitive advantage no longer lies in access to data. It lies in the ability to transform that data into timely and effective action.