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

arXiv: https://arxiv.org/abs/2404.14871 · HTML: https://mlsanity.com/paper/2404.14871/

## Key facts

- Cited by 9 papers in the map (data through 14 Oct 2026).
- Builds on 4 of its 24 references that are in the map.
- First posted on arXiv 23 Apr 2024.

## Builds on (most cited first, 4 of 4)

- [On the Robustness of Code Generation Techniques: An Empirical Study on GitHub Copilot](https://mlsanity.com/paper/2302.00438/) (2023)
- [Generative Artificial Intelligence for Software Engineering -- A Research Agenda](https://mlsanity.com/paper/2310.18648/) (2023)
- [What Makes Agile Software Development Agile?](https://mlsanity.com/paper/2109.11435/) (2021)
- [DASP: A Framework for Driving the Adoption of Software Security Practices](https://mlsanity.com/paper/2205.12388/) (2022)

## Built on by (most cited first, 9 of 9)

- [AI on My Shoulder: Supporting Emotional Labor in Front-Office Roles with an LLM-based Empathetic Coworker](https://mlsanity.com/paper/2411.02408/) (2024)
- [The State of Generative AI in Software Development: Insights from Literature and a Developer Survey](https://mlsanity.com/paper/2603.16975/) (2026)
- [Large Language Models in Code Co-generation for Safe Autonomous Vehicles](https://mlsanity.com/paper/2505.19658/) (2025)
- [AI and Agile Software Development: From Frustration to Success -- XP2025 Workshop Summary](https://mlsanity.com/paper/2506.20159/) (2025)
- [LINC: Supporting Language Independent Communication and Comprehension to Enhance Contribution in Multilingual Collaborative Meetings](https://mlsanity.com/paper/2504.18988/) (2025)
- [DevNous: An LLM-Based Multi-Agent System for Grounding IT Project Management in Unstructured Conversation](https://mlsanity.com/paper/2508.08761/) (2025)
- [AI and Agile Software Development: A Research Roadmap from the XP2025 Workshop](https://mlsanity.com/paper/2508.20563/) (2025)
- [Comparing Large Language Models on Scrum Certification-Style Questions: Accuracy, Stability, and Error Patterns](https://mlsanity.com/paper/2607.00048/) (2026)
- [Prompting GPT-5 on Scrum Certification Questions: An Empirical Accuracy Study](https://mlsanity.com/paper/2607.00049/) (2026)

## Abstract (arXiv)

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.