

What Happens When AI Reads Your 100-Page Faculty CV in 30 Seconds - with Rusty Cowher, Founder & CEO, Scholarly
Aug 17, 2025
Rusty Cowher, Founder & CEO of Scholarly, shares insights into how AI is revolutionizing the faculty lifecycle in higher education. He discusses the innovative AI-powered platform designed to streamline complex processes like tenure applications and workload management. The conversation dives into the centralization of disparate faculty data, highlighting the benefits for accuracy and utility. Rusty also addresses the ethical considerations of AI use and the importance of collaboration for informed decision-making in educational institutions.
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AI-Native Faculty Lifecycle Platform
- Scholarly is an AI-native faculty lifecycle platform that centralizes all faculty information and workflows.
- Rusty Cowher says AI reduces tasks that took months into minutes for academic operations.
CVs Are Long, AI Makes Them Data
- Faculty CVs can exceed 100 pages and contain extensive unstructured data.
- Scholarly uses AI to import CVs and convert them into structured, re-usable data for institutions.
Auto-Build Tenure Workflows
- Load your faculty handbook and ask the AI to build custom tenure workflows.
- Rusty says this replaces weeks or months of manual configuration with a 30-second AI template.