Session Abstract

AI-assisted teams should be able to work faster and produce more in shorter cycles. But what level of acceleration is really sustainable for teams, organizations, and stakeholders? This talk explores the growing mismatch between production capacity and the system's ability to review, govern, learn, and absorb feedback. As AI changes contribution patterns, it also changes team dynamics, perceptions of seniority, and expectations of ownership and quality. As output accelerates, control must increasingly move from individual effort into standards, guardrails, feedback loops, and system design. At the same time, some things should not change: responsible decision-making, human judgment, shared understanding, and learning. The session offers a practical frame for what must be redesigned, what must still be protected, and how to prevent faster output from becoming faster confusion rather than better outcomes

Ana Roje Ivancic

Ana is an accomplished Agile and DevOps consultant with 20 years of experience in professional software development and deep expertise in Azure DevOps. She believes that combining agile processes, people practices, technical excellence, and integrated tools can foster an environment where continuous value delivery thrives. As a Microsoft DevOps MVP, Ana is skilled in optimizing processes to enhance development team efficiency. As a Professional Scrum Trainer at Scrum.org, she empowers teams of varying sizes with Scrum training and coaching. Ana is a familiar figure at local and international industry conferences and regularly delivers training workshops.