Exploring Human-AI Collaboration in Agile: Customised LLM Meeting Assistants
This work addresses the challenge of effectively integrating AI tools into Agile workflows for software development teams, though it is incremental as it builds on existing human-AI collaboration concepts.
The study investigated integrating custom LLM meeting assistants into Agile software development meetings to enhance team collaboration, concluding with practical lessons and a readiness checklist for industrial adoption.
This action research study focuses on the integration of "AI assistants" in two Agile software development meetings: the Daily Scrum and a feature refinement, a planning meeting that is part of an in-house Scaled Agile framework. We discuss the critical drivers of success, and establish a link between the use of AI and team collaboration dynamics. We conclude with a list of lessons learnt during the interventions in an industrial context, and provide a assessment checklist for companies and teams to reflect on their readiness level. This paper is thus a road-map to facilitate the integration of AI tools in Agile setups.