Inside Intuit’s GenOS update: Why prompt optimization and intelligent data cognition are critical to enterprise agentic AI success

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Enterprise AI teams face a costly dilemma: build sophisticated agent systems that lock them into specific large language model (LLM) vendors, or constantly rewrite prompts and data pipelines as they switch between models. Financial technology giant Intuit has solved this problem with a breakthrough that could reshape how organizations approach multi-model AI architectures. Like many enterprises, Intuit has been building generative AI-powered solutions using multiple large language models (LLMs). Over the last several years, Intuit’s Generative AI Operating System (GenOS) platform has been steadily advancing, providing advanced capabilities to the company’s developers and end-users, such as Intuit Assist. The company has increasingly focused on agentic AI workflows that have had a measurable impact for users of the Intuit’s products which include QuickBooks, C ... Read full article.