AI Is Coming to Student Applications Is Your Foundation Ready?

When a reviewer thinks a student's essay sounds like AI, what happens next at your foundation? Points off? A note to the committee? Nothing at all? 👇 In this webinar, Reviewr shows K-12 and education foundations how to build one clear, fair AI rule into their scholarship review before the next application window opens. AI is already showing up in student work, but at many programs the rules haven't caught up, so each volunteer, donor, or counselor reading essays ends up deciding on their own what's acceptable. The session is framed through Review Integrity, a five-dimension standard for running a fair, defensible review process, and works through it in five practical moves. It applies just as well to grant and award programs. What you'll see: ✅ Where things stand: AI in student work, and AI policies that haven't caught up ✅ The questions foundations are already hearing from judges, students, parents, and donors ✅ What it costs when there's no written rule: two similar essays, two reviewers, two different outcomes ✅ Review Integrity: five questions every review process should be able to answer ✅ How to set your AI policy before students apply, state it in the application, and require every applicant to acknowledge it ✅ How to write prompts only the student could answer ✅ How to put every reviewer on one weighted rubric, with criteria donors stand behind and applicant names hidden ✅ Why an AI detection flag should start a closer look, with reviewers and the committee making the final call ✅ How to keep one record of how every scholarship was decided Plus a full live demo inside Reviewr, including: 🎥 Secure applicant and judge accounts with automatic progress saving, status visibility, and confirmation and reminder emails 🎥 The judge portal, with score visibility that lets judges catch their own outliers 🎥 Hiding applicant names and identifying details from judges 🎥 The full submission on the left and the scorecard on the right, with no extra tabs or downloads 🎥 GPA ranges that assign points automatically, defined score ranges, and descriptive ratings like "Meets Expectations" 🎥 Judge comments that make close decisions easier to defend Timestamps: 0:00 Welcome and about Reviewr 2:30 Today's topic: AI is coming to student applications 3:00 Agenda 4:00 When a reviewer thinks an essay sounds like AI, what happens next? 6:15 Where things stand: AI is in student work, and the rules haven't caught up 7:30 The questions you're already hearing 8:15 What it costs: fairness to students, answers for families, donor confidence 9:30 Decide your approach before you build the form 9:50 Review Integrity: five questions every review process should answer 14:40 Move 1: Decide your AI rule before students apply 16:15 Move 2: Ask for what only the student knows 17:30 Move 3: Put every reviewer on the same weighted rubric 18:45 Move 4: One process for every flag 19:50 Move 5: Keep one record of how every scholarship was decided 20:45 Recap: five moves to one AI rule applied to every student 21:30 Live demo: applicant and judge accounts 24:00 Live demo: the judge portal and hidden applicant information 25:20 Live demo: submission and scorecard side by side 26:30 Live demo: GPA ranges, descriptive ratings, and judge comments 28:45 Q&A and wrap-up AI isn't going away from student applications. A written rule every student acknowledges, a rubric every reviewer shares, and a record of every decision are how your foundation keeps choosing fairly and stands behind each choice. 🔗 Book a demo: https://calendly.com/reviewrsoftware/... #Scholarships #EducationFoundation #K12 #AIPolicy #ScholarshipManagement #ReviewProcess #Reviewr