Core Insights - The business world is focused on evaluating the return on investment for AI projects as the technology becomes more integrated into operations [1] Group 1: AI Investment and Budget Allocation - More than half of organizations allocate between 21% and 50% of their digital initiative budgets to AI, which translates to approximately $700 million for a company with $13 billion in annual revenue [2] - Companies must test and scale AI solutions into production before measuring success, requiring commitment from CEOs and collaboration across various business units [3] Group 2: Case Study of Prog Holdings - Prog Holdings utilized AI in their migration to Workday's HR software by developing a chatbot named Piper, which has resolved over 18,000 employee questions with a 58% first interaction accuracy [4][5] - The success of Piper led to the creation of an application that reduced decision time by 75% and improved direct-to-consumer conversions by 10% [6] - Prog also developed a generative AI tool for customer payments and standardized on Microsoft Copilot for chat-oriented AI services, emphasizing that not all AI implementations need to deliver a calculable return [7]