Episode Details

What if your ATS didn't have a dashboard at all — just a chat window? That's not a concept. That's OVI, and it might be the most significant design shift in recruiting software in thirty years. Most applicant tracking systems were built in the 1990s as databases with web front ends. Three decades later, they still look like it. Recruiters toggle between sourcing tabs, pipeline views, scheduling interfaces, and compliance logs — context-switching their way through what should be a human-first workflow. Moving a single candidate from "applied" to "phone screen" can take five to seven clicks across multiple screens. Multiply that across forty candidates per role, five open roles per recruiter, and the cognitive tax adds up fast. OVI flips this entirely. Built from the ground up as a full native AI chat ATS, OVI replaces navigation with conversation. Two purpose-built AI agents — Sora for sourcing and Milo for screening — handle the entire hiring workflow through plain-language commands. No new menus to memorize. No workflow builders to configure. You describe what you need the way you'd brief a colleague. The system interprets your intent and does the work. Audio-only candidate screening, transcript-based analysis, human-in-the-loop decisions — and pricing that starts at $99/month on the Starter plan. In this episode, we dig into what intent-based chat actually means in practice, the efficiency data behind it (66% more screens per week, 31% faster hiring), and the one question every HR buyer should be asking when evaluating an ATS in 2026.