Artificial intelligence (AI) is becoming increasingly essential for businesses across various industries, promising growth and efficiency through technologies like Large Language Models and Machine Learning platforms. However, the rising adoption of AI also brings significant costs associated with developing, deploying, and maintaining AI applications, which companies must carefully manage to ensure sustainable returns on investment. AI cost analysis is a critical process that involves evaluating financial implications from infrastructure and data costs to operational and unexpected expenses. This analysis helps organizations make informed decisions about AI investments, optimize resource allocation, mitigate risks, and ensure profitability. Tools like Moesif can aid in streamlining AI cost analysis by providing granular usage tracking, cost allocation, and real-time monitoring, which are essential for understanding usage patterns and optimizing resource allocation. By continuously analyzing and managing AI costs, businesses can maximize the value of their AI investments and ensure the long-term success and sustainability of their AI initiatives.