AI-Powered Admissions Transcript Processing as a Catalyst for Data Transformation
AI-Powered Admissions Transcript Processing as a Catalyst for Data Transformation
Tuesday, October 28, 2025 | 4:30PM–5:15PM CT | EDUCAUSE Commons, Enterprise Central, Poster Area
Session Type:
Poster Session
Delivery Format:
Poster
Speed is critical when it comes to admissions and is often a critical factor in decision-making for students. Illinois Institute of Technology adopted a solution that reduced transcript processing to just one day (down from ~30 days) and increased operational efficiencies. Now, prospective students and their families can spend more time with outreach counselors learning about life at Illinois Tech, scholarships and assistantships, and academic and career pathways. Implementing this AI-powered solution became a catalyst for data transformation at IIT. They established a foundation of data governance, modernized its data systems, and can now employ their data as a strategic asset. Dividends from this transformation have given Admissions staff and stakeholders the ability to speed decision-making and manage seasonal volume without sacrificing quality. Senior leaders have the reports and analytics dashboards they need to make faster, more informed decisions. IIT builders are empowered to engage leaders across the campus to identify more opportunities for innovation using automation and data and reap operational efficiencies. This panel session will cover the challenges faced, strategies for stakeholder engagement, approaches to change management, benefits of their strategic partnerships with technology solutions providers Quantiphi and Amazon Web Services (AWS), how they upskilled their staff, and lessons learned from their data transformation journey.
Presenters
Brian Herndon
Sales Leader, Quantiphi
Sejal Vaishnav
Chief Information Officer, Illinois Institute of Technology
Kristi Wellington Baker
Higher Education Strategy leader, Learner Innovation, Amazon Web Services
Marla Kay Workman
Sr. Director of Enrollment Operations, Illinois Institute of Technology