How NVIDIA scales expertise with ChatGPT Work

NVIDIA has implemented ChatGPT Work to streamline internal processes for teams such as global marketing and solutions architecture. The tool reduces time spent on manual data assembly by automating recurring tasks like tracking registrations and assembling account lists for events such as GTC. Will Daney, a leader in sales and business development, reports that automated workflows now handle about 40% of his pre-event preparation time, saving roughly 16 hours weekly over a 12-week planning cycle.

The automation allows Daney to reallocate time toward direct team engagement and customer support, while enabling him to adapt workflows independently without relying on new tool procurement. His workflows have been shared with teams in San Jose, Taipei, Europe, and Washington, DC, where colleagues have customized them to meet local event requirements. This approach ensures regional flexibility while maintaining a standardized foundation.

Rachita Jain, part of NVIDIA’s AI operations team, uses ChatGPT Work to filter and prioritize daily AI industry updates. Her workflow reviews trusted external sources alongside internal context, distilling 25–40 weekly updates into 5–8 actionable insights. This process transforms passive information gathering into active intelligence, enabling faster decision-making and reducing the time required to identify relevant developments.

NVIDIA aims to scale successful workflows by converting specialized knowledge into reusable processes across functions and regions. The goal is to extend AI-enabled workflows to more employees, allowing teams to focus on interpretation, collaboration, and customer-focused work. Early adopters like Daney describe the tool as a force multiplier, freeing time from repetitive tasks to concentrate on strategic priorities.