Gusto's journey to a $9.5 billion valuation is marked by its strategic integration of AI into its core business processes, particularly transforming operations-heavy tasks like payroll and HR administration. Initially, Gusto used a decentralized approach for AI implementation, allowing each product team to incorporate AI features into their products. However, they shifted to a centralized model, forming a dedicated AI team that includes engineers, data scientists, operation specialists, and domain experts to streamline AI efforts and focus on high-impact use cases. This centralized strategy fostered collaboration and facilitated the quick identification of impactful AI applications, such as automating payroll reporting, which significantly reduced the time-consuming process from 10-15 minutes to about 40 seconds. Gusto prioritizes data privacy and security by developing custom in-house AI solutions that interact with existing API endpoints, ensuring robust role-based access control to maintain user trust. The company also created an "AI ejector hatch" using GraphQL functions to enhance user experience by allowing human intervention in AI-driven tasks, ensuring accuracy and building trust. Looking ahead, Gusto aims to leverage AI to break down data silos, providing seamless access to diverse data sources and offering a more cohesive customer experience.