Exploring Human-AI Collaboration in Agile: Customised LLM Meeting Assistants

TL;DR

This paper investigates how AI assistants can be integrated into Agile meetings to enhance team collaboration, providing practical lessons and a readiness assessment checklist for organizations.

Contribution

It presents an action research study on integrating AI in Agile meetings, offering insights and tools for effective human-AI collaboration in industrial settings.

Findings

AI integration influences team collaboration dynamics

Lessons learned from industrial case studies

A readiness assessment checklist for teams

Abstract

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.