Road Scholar needed to scale marketing output and program operations without increasing team size. Campaign execution required significant coordination, content was often recreated instead of reused, and workflows varied across teams.

AI tools had already been introduced, but without shared standards, clear ownership, or a consistent operating model, adoption varied. At the same time, manual processes across program operations slowed teams down and consumed time that could be spent on more strategic work.

The opportunity was bigger than introducing another AI tool. Road Scholar needed a way to identify the right use cases, turn them into production-ready agents and workflows, and create the structure required to scale adoption across the organization.