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The client's technical hiring runs through HR and talent-acquisition teams whose biggest constraint is interviewer availability. Screening rounds consume senior engineers' time — each first-round interview occupies an experienced interviewer for an hour or more including preparation and write-up — scheduling across time zones delays pipelines, and quality varies from panel to panel. As hiring volumes grow, the organisation needed consistent, high-quality technical interviews at scale, without proportionally scaling interviewer effort.
Technical hiring at scale needed consistent, structured interviews and auditable records — without pulling more senior-engineer time into first-round screening.
Screening interviews consumed scarce senior-engineer time better spent on later-stage assessment — and scheduling delays lost strong candidates to faster-moving competitors.
Interview quality and questioning depth varied between interviewers, weakening comparability of candidates applying for the same role.
Preparing good question sets for each role was time-consuming and inconsistently done — and results were recorded inconsistently, making structured evaluation and audit difficult.
Candidate information lived in the ERP, but interview tools were disconnected from it, forcing duplicate data entry and fragmented records.
Soft Suave delivered HireVoice as a platform that automates the interview lifecycle while keeping interviewers in control — AI-generated, lockable question sets; live voice sessions over WebRTC in which an AI bot interviews the candidate in real time; and an AI evaluation pipeline turning every transcript into structured scores and a shareable PDF report.
Interviewers generate question sets from text or PDF prompts within configurable guardrails, or fork ready-made sets from a curated Expert Vault spanning 19 domains — then review, edit and lock the approved version.
An AI bot asks questions aloud and understands answers as they're spoken, entirely in the browser. Interviewers observe invisibly, join as a third participant, or pause and resume the AI at any moment.
After each session, an AI evaluation pipeline analyses the full transcript and produces structured scores, delivered as a professionally formatted PDF report that interviewers download and share with the hiring team.
"Interview capacity no longer bounded by interviewer availability — consistent, structured, auditable technical interviews at scale, with humans in control throughout."
The platform integrates real-time voice AI, configurable question generation, and structured post-session evaluation into a unified system. These capabilities enable consistent, auditable technical interviews with interviewers in control at every stage.
AI-conducted interviewing removes interviewer availability as the bottleneck on hiring throughput, while keeping every candidate's evaluation consistent, structured and auditable.
Reduction in end-to-end recruitment time in a published enterprise AI-interviewing programme
Hours of interview time saved annually in the same benchmark programme
Annual savings delivered by AI-assisted interviewing at enterprise scale
Increase in hiring diversity reported after moving to AI-based interviewing
An AI that interviews real candidates has to earn the trust of everyone in the room. Soft Suave built that in: interviewers can observe, join or pause the AI at any moment; every candidate for a role faces the same locked question set and scoring approach; the full conversation is captured for evaluation and audit; and access is role-based with time-bounded sign-in. Real-time audio is engineered for natural dialogue — low-latency speech in and out over WebRTC — and the hiring decision always stays human.
Download this practical case study to learn how HireVoice conducts spoken technical interviews end-to-end — with humans able to observe, join, or take control at any moment.
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Madhu Kadiyala
Technology Consultant
