Institutions face growing pressure to deliver timely, consistent, high-quality feedback, while faculty time and capacity remain constrained.

AI has made the situation more urgent and more confusing. Students use it to produce work faster, while instructors face a noisy market of AI options and unclear starting points for improving efficiency without compromising standards. The result is limited visibility, uneven practice, and growing anxiety about what “responsible use” even looks like in day-to-day teaching.

Without low-risk, scalable support, institutions risk burnout, inconsistency, and a drift into unmanaged AI use that undermines trust.