ElevenLabs cloned its recruiter's voice so an AI agent preps every candidate
By Oscar Gibbon (ElevenLabs)Built and shared by Oscar Gibbon (ElevenLabs), not by me. Summarised from the public sources below. Check them before you rely on a number.
- Who
- Oscar Gibbon (ElevenLabs)
- Category
- HR & recruiting
- Source
- YouTube
- Dates
- Published 16 Jul 2026 · Found 17 Oct 2026
Oscar Gibbon from ElevenLabs' talent team built a voice agent that speaks with his cloned voice and answers candidates' common questions before the first interview. Recruiters then spend the actual conversations on more meaningful topics instead of repeating the same answers.
What they built
A voice AI agent built on ElevenLabs' own platform, with a clone of the recruiter's voice and a knowledge base of the questions candidates usually ask. It can answer in several languages, and the knowledge base is updated in a feedback loop with input from both candidates and recruiters. A follow-up agent, 'Interview Angel', is planned to give candidates tailored advice after the recruiter screening.
The result
Less recruiter time on repetitive questions before calls. No hard numbers are given.
Sources
Salesforce's own HR and IT agent in Slack cut HR tickets by 50%
By Salesforce
Salesforce acted as its own first customer and put Agentforce in Slack to answer HR and IT questions for its 76,000 employees around the clock. The agent handles routine requests such as parental leave questions on its own and passes complex cases to people.
IBM's HR agent AskHR handles 94% of employees' common questions
By IBM
IBM has rebuilt its internal HR assistant AskHR into an agentic digital worker on watsonx Orchestrate. It answers questions and performs HR tasks for both employees and managers.
LinkedIn's Hiring Assistant cuts recruiters' review time by 48%
By LinkedIn (David Tag, Prashanthi Padmanabhan)
LinkedIn built Hiring Assistant, its first AI agent in production, which takes the heavy lifting of finding and evaluating candidates off recruiters. David Tag from LinkedIn's AI team explains the architecture, and LinkedIn reports that users spend about half as much time reviewing applications.
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