8 | | OCTOBER - NOVEMBER 2025IN MY OPINIONTHE END OF SOFTWARE AS WE KNOW IT? HOW AGENTIC AI IS REDEFINING THE ENTERPRISEBy Fâtih Nâyebi, Vice President, Data & AI, ALDO GroupFor decades, enterprise software evolved along a predictable path. We began with rule-based systems, rigid applications brilliant at predefined logic but brittle with ambiguity. Then, the data explosion ushered in the machine learning era, building applications that learned from history to forecast sales or optimize supply chains. These systems gave powerful insights but were still tools requiring a human to interpret their output and act.We are now at a third wave, a paradigm shift so profound it will reshape our understanding of software itself. This era is powered by foundation models and the agentic AI they enable. For CIOs, this isn't just another trend; it's a strategic imperative demanding a new way of thinking about how we build, buy, and deploy technology.From Intelligent Tools to Intelligent CollaboratorsThe revolution began with foundation models. These massive AI models, trained on diverse, web-scale datasets, possess a general-purpose intelligence adaptable to countless tasks. Unlike earlier ML models requiring bespoke development, foundation models are intelligent, reusable building blocks. They understand concepts across business, finance and technology. The release of generative AI tools brought this power to the mainstream, allowing us to generate text, code, and images from simple prompts.But generation is only the beginning. The true disruption lies in the next evolutionary step: agentic AI.Agentic systems are not passive tools waiting for a prompt; they are autonomous, goal-oriented entities. An AI agent can perceive its environment, plan to achieve a complex objective, break it into tasks, and execute them using various tools--all with minimal human intervention. They can write code, search the internet, read files and operate other software. In essence, agentic AI shifts us from using software for insights to having software get the work done.Imagine a marketing campaign. A generative AI tool can help you draft an email. An agentic marketing system, by contrast, could be tasked with "increasing engagement with last quarter's new customers." It would then devise a multi-channel strategy, draft content, deploy the campaign, monitor Fâtih Nâyebi
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