Will Nelson is the Copilot Lead at Microsoft, where he leads federal executive engagements for Microsoft Copilot, focusing on AI applications. With a background in product operations, internal tooling, and early-stage tech companies, he has launched new products, built scalable systems, and bridged gaps between emerging tools and real-world outcomes. Before Microsoft, Will was a Founding Product Ops Intern at Pie Insurance, where he grew the commercial auto vertical from zero to $2 million in premiums.

Many organizations are racing to adopt AI but struggle to apply it securely, effectively, and at scale. Leaders worry about whether they need multiple tools, how to trust AI outputs, and how to prepare their teams for this shift. With so many platforms available, how can businesses identify where AI delivers the most value without adding unnecessary complexity?

According to AI expert Will Nelson, Microsoft Copilot functions as an AI coordinator that integrates tools, data, and context to enhance outputs. This tool allows companies to conduct deep research and secure their data through tenant-based governance. Will maintains that organizations don’t need world-changing use cases to benefit from AI; even simple applications like meeting preparation and document summarization can significantly increase productivity. This can be accomplished through effective, specific prompting.

In this episode of The Digital Deep Dive, Aaron Conant chats with Will Nelson, Copilot Lead at Microsoft, about how Microsoft Copilot enables organizations to adopt AI effectively. Will talks about the future convergence of large language models, how government agencies are adopting AI, and how to use synthetic data to train AI models.