Comparing the Use of Agile in Traditional IT and AI Projects - MICHAŁ OPALSKI / AI-AGILE.ORG
Agile has been a cornerstone of modern project management in the IT industry for over two decades. Since the Agile Manifesto was introduced in 2001, it has revolutionized how teams work by promoting iteration, close collaboration with clients, and adaptability to change. Today, as artificial intelligence (AI) emerges as one of the most influential fields in technology, a pressing question arises: does Agile work as effectively in AI projects as it does in traditional IT initiatives? This article provides a detailed comparison between traditional IT projects and AI projects from an Agile perspective, exploring their similarities, differences, challenges, and real-world examples. Agile in Traditional IT In classical IT projects—such as developing web applications, ERP systems , or mobile solutions—Agile has become the de facto standard. Development teams frequently rely on frameworks such as Scrum , Kanban , or SAFe to accelerate delivery, mitigate risk, and ensure continuous value...
