The integration of artificial intelligence (AI) with search technologies is significantly enhancing enterprise intelligence by utilizing tools like natural language processing, machine learning-based relevancy, and large language models to extract value from unanalyzed data. As traditional search systems struggle with growing data volumes, modern AI-driven systems have improved the accuracy and relevance of search results, particularly with the advent of generative AI (GenAI) and retrieval augmented generation (RAG) techniques. These advancements allow organizations to connect GenAI with proprietary enterprise data effectively, offering more relevant and actionable insights. IDC surveys reveal that organizations adopting AI-powered search systems report substantial productivity improvements, cost savings, and customer satisfaction. However, the transition to becoming an AI-first organization requires strategic application of GenAI, robust search technology, and careful consideration of data governance and security. Elastic's solutions, built on the Elastic Search AI Platform, exemplify how modern search technologies can leverage structured and unstructured data to fulfill AI's potential while maintaining data security and privacy.