This exploration explores Lean Six Sigma (LSS) and Artificial Intelligence (AI) affected production quality and speed in Irish pharmaceutical industry. Findings provide clear shift to digital transformation as AI implementation reached 38% and combined LSS with AI reached 34%. It represents a decreasing reliance on traditional methods by comparison only 16 % of companies rely on LSS. Analysis examines divided perceptions of effectiveness as some participants reported strong advantages while others viewed aspects as ineffective. ANOVA analysis confirmed that employee roles effectively affected viewpoints of AI site type and speed influence effectively affected LSS quality advantages. These outcomes provide that success rely on training and context management instead of resources or organisational size. For consistent quality improvement, LSS was built to be an organised framework while AI given dynamic forecast power that plays a sensitive role. Application emerged as most significant approach as it merged systematic process control with advanced analytics. Recommendations emphasise contextual deployment, tailored and leadership alignment training to indicate challenges like skill shortages, cultural resistance and high costs. Further priorities involve supporting integrated strategies and investing in infrastructure that align with LSS and AI for sustainable enhancement. The research mainly focuses on achieving evidence confirming that impact of LSS is context dependent AI drives digital transformation and their implementation proves most powerful results. Limitations involve reliance on uneven role representation, cross sectional analysis and self-reported data that restricts causal insight and generalisability. Future research must implement longitudinal designs that spread through applied advanced modelling and global comparisons techniques to examine deeper relationships. Regulatory and ethical dimensions of AI implementation also merit exploration to enhance industry practice and academic understanding.