While robots and automation in general have been replacing humans in repetitive and routine labour for many years, the role of AI is considered to develop from mere tools to integral teammates. However, recent developments in artificial intelligence (AI) are redefining the role of AI from being mere tools to becoming integral teammates within Human-Autonomy Teams (HATs). The emergence of advanced large language models (LLMs) has extended the capabilities of AI, enabling machines to mimic cognitive human functions and thus marking a new era of collaboration between humans and AI. This transition has attracted many companies across diverse industries, such as medicine, manufacturing, spaceflight, and construction, where the development and integration of HATs are actively explored.

As the landscape of human-AI collaboration continues to evolve, there is a critical need to delve deeper into understanding how these teams will function. While research in the field of Human-Autonomy Teams has been expanding rapidly, most studies have been limited to controlled laboratory settings. Therefore, it is imperative to conduct more field research to assess the real-world effectiveness of HATs, particularly in workplace contexts.

This research focuses on exploring the potential of AI-powered systems to support team effectiveness, with a specific implementation context within ThoughtWorks. It aims to identify and address the challenges of human collaboration in interdisciplinary product development teams and examines how AI can be leveraged to enhance team effectiveness. By proposing speculative AI-driven solutions to these challenges, the study highlights not only the transformative potential of technology but also the symbiotic relationship between humans and machines in the context of teamwork.

The outcome of this research offers a futuristic vision of Human-AI teamwork scenarios and provides a framework for examining AI's role within these scenarios to augment team effectiveness. The study combines a comprehensive analysis with in-depth investigation, contributing to a holistic understanding of the roles, capabilities, and interactions of AI within teams, as well as the implications of these advancements for the future of work.