The impact of AI on the transformation of business software

In a constantly evolving world, the transformation of business software is undergoing a profound transformation, driven by the rapid advances in artificial intelligence (AI). Today, businesses find themselves at a critical crossroads, where they must adapt to more flexible and dynamic solutions or risk being overtaken by the competition. The rise of AI agents, the quest for interoperability standards, and dedicated infrastructure are redefining not only the internal operations of companies, but also their business models. This upheaval is giving rise to new opportunities, but also significant challenges.

AI Agents: A Revolution Underway for Business Software

The first major step in this transformation of business software is embodied by the rise of AI agents. These new intelligent entities introduce a completely new way of interacting with business data. Unlike traditional systems, which exhibit a rigid and closed approach, AI agents are able to act directly on data, independently of the underlying systems. This shift reverses the dynamics of typical interfaces in Salesforce, Microsoft Dynamics, and other management software, which previously managed data access and use centrally. Here are some key elements of this revolution: AI agents operate on data in real time, making old data management models obsolete. Interactions become more natural, thanks to advanced voice and text interfaces. These agents can centralize application logic, eliminating the need for prolonged use of systems like SAP or Oracle. In other words, this technological evolution fosters unprecedented flexibility in how companies can configure and adapt their business processes in 2025 and beyond.A New Vision for Data Management With the integration of AI agents, companies are moving toward a completely redefined data management. What was once confined to the rigid structures of traditional software is now a domain where creativity and flexibility can flourish. Take IBM, for example, which, through its AI initiatives, allows its clients to juggle different databases without being constrained by specific interfaces.AI agents function as orchestrators, capable of handling complex workflows while maintaining continuous interactivity with multiple data sources. Here are some benefits: Process optimization through faster response to user needs. Improved accuracy of processed data.

Reduced operational costs associated with traditional software management. This renewal in data management is essential for companies wishing not only to survive, but also to excel in an increasingly competitive environment.

• The quest for interoperability standards: a major challenge
• As AI matures, the crucial issue of interoperability between different systems is becoming more pressing. Companies are investing heavily in AI infrastructure, but the success of this strategy also depends on the ability of each player to interact seamlessly. A good example is the temptation for giants like Microsoft to maintain a certain control over their interfaces, even in the era of the Model Context Protocol (MCP) standard.
• MCP, adopted by major players such as OpenAI and Google, is an essential step towards this interoperability. However, for business software such as Workday, Zoho, or Odoo to adapt quickly, they will need to rethink their communication methods. It is becoming imperative to move from obsolete binary formats to a text-based architecture, more adaptable to AI. Software Interoperability Adaptability to AISAP

Active, but rigid

Limited

Salesforce Open with ESBGood

IBM

• Broad but centralized
• Excellent
• Odoo

Flexibility

Good

ServiceNow Compatible cloud infrastructures Promising

Without truly adapting to interoperability standards, there is a major risk that several software programs will no longer be able to interact effectively with AI agents. This could not only lead to customer loss but also compromise their business model. Dedicated Infrastructure: A Pressing Need for AI Growth In recent years, the upward trend in investment in AI-dedicated infrastructure has been phenomenal. Companies are realizing that to fully leverage AI agents, they need a solid technological foundation. Leaders like Nvidia are leading the way with scalable solutions that truly meet market demands. In 2025, it is essential to have an infrastructure that not only supports processing but also enables efficient data integration. Traditional infrastructures are facing a major challenge: the need to migrate to suitable AI solutions. Companies must consider how to integrate this new dimension into their current model. Here are some ideas: Assess current infrastructure capabilities and identify gaps to fill.Invest in open AI systems that facilitate collaboration with other technologies. Maximize the benefits of cloud solutions to reduce dependence on expensive VPN systems.This repositioning is an essential development. Companies that fail to do so risk finding themselves on the sidelines in a rapidly changing technological landscape. The Transformation of Business Software: Towards a New Ecosystem To conclude this reflection on the impact of AI, it is becoming clear that software vendors must evolve or risk disappearing. With the market shift and the emergence of other players, success will require offering more open and flexible services, where user interface dominance will no longer be the norm. Giants like Oracle and Sage must recognize this need, otherwise they could see their market share melt away like snow in the sun. They will also have to review their business model to move towards open and adaptable APIs. Companies are looking for products where the flexibility of AI is a real asset. There is therefore no room for stagnation. Adaptations must be considered, and these include, among other things: Proactively updating systems to integrate with modern AI agents.