Deploying agentic artificial intelligence models to automate high-stakes decisions in product placement and store operations

Decision automation for high-stakes decisions in business operations is undergoing a revolution driven by the advent of large foundation AI models and their deployment as conversational agents. For typically low-stakes decisions or tasks such as drafting emails, writing advertisements, creating social media posts, or summarizing documentation, large agentic models serve as convenient end-user tools made widely available via desktop and mobile applications. However, for high-stakes decisions that have significant impact and influence on business operations and results, such as hiring certain candidates, pricing certain products, or optimizing for certain business outcomes, agentic foundation models will increasingly serve as agents-of-agents tasked with automating various aspects of task and solution complexities. Here we highlight key areas of consideration in deploying large foundation models as agentic AI for automating high-stakes task completion and decision-making.