AI Builder Integration and Implementation: A Qualitative Study on Microsoft Power Platform

Authors

DOI:

https://doi.org/10.70715/jitcai.2026.v3.i4.080

Keywords:

Microsoft Power Platform, Artificial Intelligence, AI Builder, Human Factors

Abstract

This study investigates the adoption and utilisation of AI Builder in the Microsoft Power Platform; the focus will be on the socio-technical barriers affecting the successful uptake within organisations. A qualitative approach utilizing a single-case study of documented AI Builder implementation at the Agriculture and Horticulture Development Board (AHDB) is used along with existing literature. A thematic analysis was performed to analyse the implementation process and the critical organizational and technical aspects of AI Builder adoption. As shown, governance, citizen development, and organizational preparedness were found to be major themes for effective implementation, and good data governance, collaborative efforts across teams, change management, and user trust are enablers for successful, sustained adoption. The AHDB case shows how AI Builder, when used with Power Apps, Power Automate, Power BI and Dataverse, can lead to better coordinated workflows, single data points and a more efficient organisation. The study demonstrates that the successful deployment of AI Builder is contingent more on organizational readiness and accountability than technological maturity. These findings offer an informed blueprint to organizations adopting low-code AI platforms and contribute to the ongoing body of literature in AI democratization and socio-technical implementations.

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Author Biography

  • Pullaiah Chowdary Vutla, University of the Cumberlands

    Mr. Pullaiah Chowdary Vutla is pursuing a Ph.D. in Information Technology (Information Security) at the University of the Cumberlands, expected December 2026. He holds a Bachelor’s degree in Electrical and Electronics Engineering from India and dual Master’s degrees in Computer Science and Information Technology Management from the United States. Based in San Francisco, California, he serves as a Solution Architect/Developer Lead, applying expertise in application development, cybersecurity, data analytics, cloud computing, AI, and machine learning. He has seven IEEE conference papers and one ICRCET paper accepted, with nine journal articles under review in IEEE, Elsevier, Springer Nature, Wiley, and Taylor & Francis. He also reviews for Emerald Publishing and IEEE journals and conferences.

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Published

07/31/2026

Data Availability Statement

Analyzed during this study. All information and data discussed are derived from previously published sources that are cited in the manuscript.

Issue

Vol. 3 No. 4 (2026): Emerging Frontiers and Intelligent Solutions in Information Technology, Cybersecurity, and Artificial Intelligence

Section

Articles

License

Copyright (c) 2026 Pullaiah Chowdary Vutla, Triveni Yenugu (Author)

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2026 Author(s). Authors retain copyright and grant JITCAI the right of first publication. This work is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) License.

How to Cite

[1]
P. C. Vutla and T. Yenugu, “AI Builder Integration and Implementation: A Qualitative Study on Microsoft Power Platform”, Journal of Information Technology, Cybersecurity, and Artificial Intelligence, vol. 3, no. 4, pp. 143–159, Jul. 2026, doi: 10.70715/jitcai.2026.v3.i4.080.

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