AI can complete the first read by reviewing application materials, applying the scoring guidance you provide, and summarizing key points for your staff. It doesn’t replace human judgment — it simply gives reviewers a consistent starting point so they can focus on nuanced decisions instead of repetitive evaluation tasks.

AI follows the same criteria every time, which reduces variation in how first reads are completed. You define the rubric, scoring factors, and areas of emphasis, and the system applies them uniformly across all applications. This helps ensure that every student gets the same structured evaluation before a human reviewer weighs in.

No. AI supports the admissions process by organizing, scoring, and summarizing applications, but final decisions always remain with your staff. Think of it as preparing the application so reviewers can make better, faster, and more confident choices.

AI begins reviewing applications the moment they’re submitted, which prevents the backlog that usually forms during peak periods. Instead of waiting days or weeks for a first read, applications are prepped and ready for staff almost instantly — keeping the entire workflow moving.

Yes. AI can identify missing materials and detect patterns that may signal suspicious or duplicate activity. This helps your team prioritize attention where it’s needed most without slowing down the overall review process.

AI can support traditional application cycles as well as rolling or open-enrollment models. Whether you make admit/deny decisions or simply clear students to move forward, the system adapts to your process and gives staff the information they need to take the right next step.