Adoption of Large Language Models in Scrum Management: Insights from Brazilian Practitioners

Adoption of Large Language Models in Scrum Management: Insights from Brazilian Practitioners. Perkusich, M., Albuquerque, D., Araújo, A. A., Paixão, M., Gheyi, R., Kalinowski, M., & Perkusich, A. In Goldman, A., Marczak, S., Tonin, G. S., Bassi, D., Silva da Silva, T., Schön, E., Neumann, M., & Pinna, A., editors, Agile Processes in Software Engineering and Extreme Programming, pages 255–273, Cham, 2026. Springer Nature Switzerland.

Author version doi abstract bibtex

Scrum is widely adopted in software project management due to its adaptability and collaborative nature. The recent emergence of Large Language Models (LLMs) has created new opportunities to support knowledge-intensive Scrum practices. However, existing research has largely focused on technical activities such as coding and testing, with limited evidence on the use of LLMs in management-related Scrum activities. In this study, we investigate the use of LLMs in Scrum management activities through a survey of 70 Brazilian professionals. Among them, 49 actively use Scrum, and 33 reported using LLM-based assistants in their Scrum practices. The results indicate a high level of proficiency and frequent use of LLMs, with 85% of respondents reporting intermediate or advanced proficiency and 52% using them daily. LLM use concentrates on exploring Scrum practices, with artifacts and events receiving targeted yet uneven support, whereas broader management tasks appear to be adopted more cautiously. The main benefits include increased productivity (78%) and reduced manual effort (75%). However, several critical risks remain, as respondents report `almost correct' outputs (81%), confidentiality concerns (63%), and hallucinations during use (59%). This work provides one of the first empirical characterizations of LLM use in Scrum management, identifying current practices, quantifying benefits and risks, and outlining directions for responsible adoption and integration in Agile environments.

@InProceedings{PerkusichAAPGKP26,
  author="Perkusich, Mirko
  and Albuquerque, Danyllo
  and Ara{\'u}jo, Allysson Allex
  and Paix{\~a}o, Matheus
  and Gheyi, Rohit
  and Kalinowski, Marcos
  and Perkusich, Angelo",
  editor="Goldman, Alfredo
  and Marczak, Sabrina
  and Tonin, Graziela Simone
  and Bassi, Dairton
  and Silva da Silva, Tiago
  and Sch{\"o}n, Eva-Maria
  and Neumann, Michael
  and Pinna, Andrea",
  title="Adoption of Large Language Models in Scrum Management: Insights from Brazilian Practitioners",
  booktitle="Agile Processes in Software Engineering and Extreme Programming",
  year="2026",
  publisher="Springer Nature Switzerland",
  address="Cham",
  pages="255--273",
  abstract="Scrum is widely adopted in software project management due to its adaptability and collaborative nature. The recent emergence of Large Language Models (LLMs) has created new opportunities to support knowledge-intensive Scrum practices. However, existing research has largely focused on technical activities such as coding and testing, with limited evidence on the use of LLMs in management-related Scrum activities. In this study, we investigate the use of LLMs in Scrum management activities through a survey of 70 Brazilian professionals. Among them, 49 actively use Scrum, and 33 reported using LLM-based assistants in their Scrum practices. The results indicate a high level of proficiency and frequent use of LLMs, with 85{\%} of respondents reporting intermediate or advanced proficiency and 52{\%} using them daily. LLM use concentrates on exploring Scrum practices, with artifacts and events receiving targeted yet uneven support, whereas broader management tasks appear to be adopted more cautiously. The main benefits include increased productivity (78{\%}) and reduced manual effort (75{\%}). However, several critical risks remain, as respondents report `almost correct' outputs (81{\%}), confidentiality concerns (63{\%}), and hallucinations during use (59{\%}). This work provides one of the first empirical characterizations of LLM use in Scrum management, identifying current practices, quantifying benefits and risks, and outlining directions for responsible adoption and integration in Agile environments.",
  isbn="978-3-032-22375-3",
  doi="10.1007/978-3-032-22375-3_16",  
  urlAuthor_version="http://www.inf.puc-rio.br/~kalinowski/publications/PerkusichAAPGKP26.pdf"
}

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