AI Agent Operational Lift for Purdue Fort Wayne - College Of Engineering, Technology And Computer Sciences in Fort Wayne, Indiana

Why AI matters at this scale

Purdue Fort Wayne's College of Engineering, Technology, and Computer Sciences operates in a unique niche: a public, mid-sized STEM-focused college within a regional university. With 201–500 employees and a mission to produce career-ready graduates for Indiana's advanced manufacturing and tech sectors, the college faces the classic mid-market challenge—ambitious outcomes with constrained resources. AI adoption here isn't about flashy R&D labs; it's about pragmatic tools that boost student retention, streamline faculty workflows, and strengthen industry partnerships. At this scale, even a 5% improvement in retention can translate to millions in tuition revenue and state performance funding.

The operational reality

The college runs on a typical higher-ed stack: a student information system (likely Banner), an LMS (Canvas), and CRM for recruitment (Salesforce). Data sits in silos. Faculty are stretched thin teaching, advising, and pursuing research. Students, many first-generation, need more support than office hours can provide. AI can bridge these gaps without hiring armies of advisors or tutors. Cloud-based AI services from Microsoft Azure or AWS, already familiar to the CS faculty, lower the technical barrier.

Three concrete AI opportunities with ROI

1. Predictive Student Success Engine Integrating LMS activity, early assignment grades, and campus engagement data into a lightweight ML model can predict at-risk students by week 4. Automated alerts to advisors trigger targeted interventions. ROI: A 3-5 point lift in first-year retention yields an estimated $1.2M in annual net tuition revenue, plus improved state metrics.

2. AI Teaching Assistant Network Deploying fine-tuned LLMs as 24/7 tutors for introductory programming and calculus courses reduces DFW (drop, fail, withdraw) rates. These tools answer questions, explain errors, and generate practice problems. ROI: Reduced faculty overload and a 10% drop in DFW rates saves roughly $400K in lost credit hours and accelerates time-to-degree.

3. Grant Intelligence Platform An internal tool that uses NLP to match faculty profiles with active NSF, DOD, and industry RFPs, then drafts compliant proposal sections. ROI: Increasing annual research expenditures by 15% (from a base of ~$5M) brings in an additional $750K in indirect cost recovery, directly funding more graduate assistants and lab equipment.

Deployment risks and mitigations

The biggest risk is data governance. FERPA compliance demands strict access controls and anonymization for any student data used in models. Start with an institutional review board-approved pilot, using only data already collected for educational purposes. Faculty resistance is real—position AI as an assistant, not a replacement. Offer stipends for early adopters to redesign courses around AI tools. Finally, avoid vendor lock-in by favoring open-source models and ensuring data portability. A phased rollout, beginning with the CS department where AI literacy is highest, builds internal champions before scaling to engineering and technology programs.