India is experiencing a rapid digital transformation, largely driven by the ₹2,000-crore IndiaAI Mission and the establishment of AI-specialised Special Economic Zones (SEZs). As organizations increasingly adopt AI, their reliance on cloud services is growing, leading to a sharp rise in cloud consumption. However, this growth comes with challenges, particularly in managing and predicting cloud costs. Research indicates that organizations can lose 20-30% of their cloud budgets due to unoptimized resources, which often go unnoticed due to a lack of visibility. The complexity of cloud environments, especially with AI workloads, makes it difficult for teams to track their spending accurately. This disconnect can lead to significant inefficiencies, diverting funds away from essential areas like AI model development and customer experience improvements. To combat these issues, organizations must prioritize observability in their cloud management strategies, enabling them to understand the underlying reasons for resource usage and costs. By doing so, they can optimize their cloud expenditures, ensuring that innovation is not stifled by hidden inefficiencies.