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Talview reduces talent acquisition cost by 63% with AI automation

AI in Talent Acquisition

Automated workflows enabled 63% cost reduction, 3x fewer no-shows, and 5x faster screening processes.

63%

cost per hire cut

3x

lower no-shows

5x

faster hire-time

100%

automated screening
Organisation
Talview
Website
https://www.talview.com
Industry
HRTech & Talent Acquisition
Founded
2012
Channel
Conversational AI (Voice & Chat)
Usecases
Resume parsing, candidate engagement, qualification calls, automated scheduling
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A global talent assessment platform faced slow, costly hiring cycles and high candidate drop-offs. Gnani.ai implemented an AI-driven system to automate sourcing, screening, and engagement.

The Solution

Talview leveraged AI-driven workflows to optimize its recruitment pipeline, reducing hiring costs and time-to-hire dramatically. The solution improved engagement and lowered drop-offs through automation.

01

Implemented resume parsing and instant candidate screening using advanced AI-fit algorithms to identify top talent quickly.

02

Automated interview scheduling and reminders, improving candidate show-up rates and reducing recruitment delays.

03

Introduced AI-powered qualification calls with dynamic, role-based questioning for consistent evaluations.

04

Enabled scoring models and analytics dashboards for ranking candidates and enhancing recruiter productivity.

This AI-first recruitment approach improved operational efficiency, hiring speed, and candidate quality at scale.

The Impact

Talview recorded significant cost savings, reduced hiring time, and improved candidate experience, creating a scalable recruitment model.

63%

cost saved

3x

lower drop-offs

5x

faster screening

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