ARTIFICIAL INTELLIGENCE APPLIED TO THE DEVELOPMENT OF PROFESSIONAL TOOLS: A CASE STUDY ON THE DEVELOPMENT OF SOFTWARE HUMOR
ARTIFICIAL INTELLIGENCE APPLIED TO THE DEVELOPMENT OF PROFESSIONAL TOOLS:
DOI:
https://doi.org/10.64892/et.v17i1.3631Keywords:
Artificial Intelligence, Professional Tools, Organizacional Context, Decision Support Systems, UsabilityAbstract
This article analyzes the foundations required to transform artificial intelligence-based systems into functionally viable professional tools in complex organizational environments, using the development of Software Humor as its analytical reference. The study is based on the premise that the consolidation of artificial intelligence as a professional-use instrument does not depend solely on algorithmic performance, but rather on the articulation between technical infrastructure, context of use, usability, functional intelligibility, and compatibility with the human and procedural dynamics of the organization. Methodologically, the study is characterized as applied research, with a qualitative approach and exploratory-descriptive objectives, developed through bibliographic review and case study. The analysis showed that the construction of professional AI tools requires a multidisciplinary approach involving technical, psychological, managerial, and operational competencies, as well as successive adjustments between the system and the concrete conditions of use. The case of Software Humor demonstrated that the viability of an intelligent application in a commercial context depends not only on its ability to recognize emotional and behavioral signals, but also on its capacity to convert such recognition into useful decision support, operationally understandable language, and formats consistent with the actual workflow. The results indicated relevant interpretive coherence, practical usefulness for sales monitoring, and potential to reduce uncertainty in commercial interactions, although there is still insufficient statistical evidence to claim a conclusive impact on conversion rates. It is concluded that the transition of artificial intelligence from technological demonstration to applied professional tool requires integration between technology, process, user experience, and organizational context, which constitutes the main challenge for the consolidation of intelligent solutions in the world of work.
Downloads
References
CARROLL, John M. Human-computer interaction: psychology as a science of design. Annual Review of Psychology, v. 48, n. 1, p. 61-83, 1997.
CRESWELL, John W.; CRESWELL, J. David. Research design: qualitative, quantitative, and mixed methods approaches. 5. ed. Thousand Oaks: SAGE Publications, 2018.
DAVENPORT, Thomas H.; RONANKI, Rajeev. Artificial intelligence for the real world. Harvard Business Review, Boston, jan./fev. 2018.
GIL, Antonio Carlos. Como elaborar projetos de pesquisa. São Paulo: Atlas, 2002.
KEEN, Peter G. W.; SCOTT MORTON, Michael S. Decision support systems: an organizational perspective. Reading, MA: Addison-Wesley, 1978.
LEONARDI, Paul M.; BARLEY, Stephen R. What’s under construction here? Social action, materiality, and power in constructivist studies of technology and organizing. The Academy of Management Annals, v. 4, n. 1, p. 1-51, 2010.
MILLER, Tim. Explanation in artificial intelligence: insights from the social sciences. Artificial Intelligence, v. 267, p. 1-38, 2019.
MINAYO, Maria Cecília de Souza. O desafio do conhecimento: pesquisa qualitativa em saúde. 14. ed. São Paulo: Hucitec, 2014.
ORLIKOWSKI, Wanda J. The sociomateriality of organisational life: considering technology in management research. Cambridge Journal of Economics, v. 34, n. 1, p. 125-141, 2010.
PASMORE, William; WINBY, Stu; MOHRMAN, Susan Albers; VANASSE, Rick. Sociotechnical systems design and organization change. Journal of Change Management, v. 19, n. 2, p. 67-85, 2019.
SCOTT MORTON, Michael S. Management decision systems: computer-based support for decision making. Boston: Division of Research, Graduate School of Business Administration, Harvard University, 1971.
SHNEIDERMAN, Ben. Human-centered artificial intelligence: reliable, safe & trustworthy. International Journal of Human-Computer Interaction, v. 36, n. 6, p. 495-504, 2020.
TRIST, E. L.; BAMFORTH, K. W. Some social and psychological consequences of the longwall method of coal-getting: an examination of the psychological situation and defences of a work group in relation to the social structure and technological content of the work system. Human Relations, v. 4, n. 1, p. 3-38, 1951.
YIN, Robert K. Estudo de caso: planejamento e métodos. 5. ed. Porto Alegre: Bookman, 2015.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Episteme Transversalis

This work is licensed under a Creative Commons Attribution 4.0 International License.
Revista Episteme Transversalis © 2010 por Centro Universitário Geraldo Di Biase está licenciada sob Creative Commons Atribuição 4.0 Internacional. Para visualizar uma cópia desta licença, visite https://creativecommons.org/licenses/by/4.0/









