Purpose: This study aims to explore the extent to which TQM improves operational efficiency and increases AI integration from the perspectives of employees at SMEs in Oman. In addition to reporting on how TQM and AI are perceived, the study reports on the correlation between quality management and productivity. The study is based on the assumption that TQM and AI will increase SME productivity. Design/Methodology/Approach: A contingency philosophy underpins the study’s research design. For data collection, a qualitative case study approach involving interviews was administered to 4 managers and 4 QA employees at select Oman SMEs. Thematic analysis is used to identify the frequency of words and phrases that reflect respondents’ perceptions regarding TQM and AI. Findings: The findings suggest that implementing TQM enhances operational efficiency, and AI integration improves processes. The findings indicate that respondents recognize TQM and AI’s potential in business performance. Significantly, although the sample is from one case study in a limited geographical area in Oman, which may jeopardize the generalizability of the findings, the study opens a new research horizon to validate the results in similar locations. Originality/Value: The study’s qualitative findings and participant voice provide insights into the challenges and opportunities faced by Oman SMEs. It spotlights the critical role of TQM and AI in enhancing productivity. The insights gained from this study are useful to business leaders and policymakers, providing them with an understanding of the value of quality management practices.