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

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.