recruiting · saas · workflow
Apna scales 7.5 million AI interview minutes using ElevenLabs
Interview preparation in India was generic, disconnected, and inaccessible to most job seekers. Apna needed to deliver personalized, conversational mock interviews with lifelike timing, empathy, and domain depth at massive scale.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Candidate speaks
Each conversational turn begins with candidate speech.
Tools used
ElevenLabsBlue MachinesRAGASRNLU
Outcome
Apna delivered over 1.5 million AI interviews totaling 7.5 million voice minutes with sub-300 ms latency, democratizing access to high-quality interview preparation for millions of job seekers across India.
Results
Time saved7.5 million voice minutes
Volumeover 1.5 million
Grounding & classification
Source type: vendor customer story
34 fields verified against source quotes.
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