Optimization of Generative AI Efficiency: A Case Study Based on Professional Workshop Questionnaires

Abstract

In this research, we explored the strategic optimization of Microsoft 365 Copilot by examining the transition from theoretical readiness to practical user mastery. This research was based on a structured "Art of the Possible" (AOTP) workshop approach, which was the key method for discovering high-impact business scenarios. By analysing quantitative and qualitative information from an AI Workshop Questionnaire, we were able to determine the impact of specific organizational interventions on user adoption and technical efficiency. Our results showed that successful optimization was more than just a function of technical setup and was instead highly reliant on expertise in prompt engineering and addressing security issues, like data oversharing. In addition, we emphasized the need for a "Crawl Walk-Run" approach and the critical role of internal "Champions" in maintaining digital transformation. We concluded that a feedback loop between end-users and stakeholders is necessary for aligning generative AI capabilities with organizational goals.