> ## Documentation Index > Fetch the complete documentation index at: https://docs.witting.ai/llms.txt > Use this file to discover all available pages before exploring further. # HR & Hiring Overview > How Vocalis AI Actors help hiring teams interview more candidates, faster and more consistently. Structured evaluations, 24/7 availability, no added headcount. Hiring teams face two related problems. Either critical screening conversations are not happening at all — because technical evaluators are not available, so candidates go to clients unscreened and get rejected. Or the conversations are happening, but they are expensive, inconsistent, and produce no structured data. Vocalis solves both. Your AI Actors join Google Meet and conduct those interviews at scale. Every conversation produces structured evaluations you define — skills, fit, salary expectations — across hundreds of candidates. And your recruiters create and modify these agents in plain English. No developers needed. ## The numbers A typical hiring pipeline for a single role: | Stage | Time per candidate | Candidates | Total hours | | ------------------- | ------------------ | ---------- | ------------ | | Technical interview | 45 min | 20 | 15 hours | | Culture fit | 30 min | 10 | 5 hours | | Reference check | 20 min | 5 | \~2 hours | | **Total** | | | **22 hours** | Multiply that across every open role, and your recruiting team is spending hundreds of hours per quarter on conversations that follow predictable patterns — or worse, those conversations are not happening and candidates are getting rejected without ever being assessed. ## How Vocalis helps * **Candidates get assessed, not rejected unscreened** — When technical experts are not available to screen, the AI Actor does it. Every candidate gets a fair shot instead of going to the client with no evaluation. * **Consistent quality** — Every candidate gets the same questions asked the same way. No interviewer fatigue, no skipped questions, no variance between interviewers. * **Structured, comparable results** — Instead of handwritten notes, you get transcripts and extracted insights that you can filter, sort, and compare across candidates. * **Scale without adding headcount** — Schedule 200 screening interviews in an afternoon. AI Actors do not need breaks, onboarding, or management. * **Faster scheduling** — Candidates get interviewed quickly. No back-and-forth to find time that works for a human interviewer. Interviews can happen 24/7. ## Multi-stage hiring workflow Set up a different AI Actor for each interview stage: ``` Application received ↓ Stage 1: Subject Matter Interview AI Actor → 30-min call via Google Meet → Role-specific technical or domain questions → Output: Skills assessment + detailed transcript ↓ Hiring manager reviews, selects finalists Stage 2: Culture Fit AI Actor → 20-min call via Google Meet → STAR-format behavioral questions → Output: Values alignment assessment ↓ Team reviews, makes offer decisions Stage 3: Reference Check AI Actor → 10-min call via phone → Structured reference verification → Output: Reference summary ↓ Offer decision ``` Each stage produces structured, comparable data. Your team only spends time on the decisions that matter — which candidates to advance and who to hire. ## Results teams are seeing * **80% less time** spent on screening interviews * **3x faster** candidate throughput in early pipeline stages * **Fair comparison** across all candidates with consistent scoring * **24/7 availability** — candidates can interview outside business hours ## Low-risk to try Vocalis uses per-minute, pay-as-you-go pricing. No upfront commitment. Run 20 screening interviews, review the results, and decide. Your recruiters set up the AI Actor themselves — no IT involvement, no developer queue. ## Get started Run technical and domain-specific interviews. Run behavioral interviews with STAR-format questions. Create your first AI Actor in minutes.