OVI is the AI-native ATS where you chat to hire. Two AI agents — Sora for sourcing and Milo for screening — find candidates, score every CV, and run AI interviews, all controlled from a single chat.

What does "chat to hire" mean?

Chat to hire is OVI's AI-native hiring workflow: instead of clicking through a traditional ATS, you describe what you need in chat and OVI's AI agents source candidates, screen applicants, run AI interviews, and send outreach for you.

What is an AI-native ATS?

An AI-native ATS is an applicant tracking system built around AI agents rather than forms and pipelines. OVI's AI chat ATS lets recruiters source, screen, interview, and follow up through conversation — the agents do the work and surface only the candidates worth meeting.

Who are Sora and Milo?

Sora is OVI's AI sourcing agent — she scans LinkedIn, the open web, and your ATS history to find best-fit candidates and reach out in your name. Milo is OVI's AI screening agent — he scores every applicant against your rubric and surfaces a ranked shortlist.

How do OVI's AI interviews work?

OVI runs async AI interviews for every shortlisted candidate and returns scores, transcripts, and recordings — so your team only meets the people worth meeting.

What Does an AI Agent Actually Do?

2025-08-25

Imagine this: a new lead lands in Salesforce.

The AI agent jumps on it.
It checks your Google Calendar, finds a free slot next Tuesday at 10, and books the meeting.
It updates the lead record in Salesforce and attaches a calendar invite.

After that, it runs a background check using a deep research tool—pulling in recent funding rounds, press mentions, and team info and adds that to the CRM.

During the actual call, it listens in, provides you with real-time tips in Slack—like relevant case studies or deal history and takes notes.

After the call, it updates the CRM with action items and sends the lead a polished summary of everything you discussed.

So it combines inputs across tools, plans the best next step, and actually gets things moving?

Exactly.
It reasons across your systems, takes action, then either shows you what it did—or asks:
“Need a quick decision from you here?”

That’s more than automation—it’s coordination with context.