Cover Image for High-Volume Hiring: Self Learning Agents to Reduce Time to Hire by 60%
Cover Image for High-Volume Hiring: Self Learning Agents to Reduce Time to Hire by 60%
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High-Volume Hiring: Self Learning Agents to Reduce Time to Hire by 60%

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About this Masterclass

Still spending weeks to fill each role?

Join this 30-minute session to see how leading companies cut their time-to-hire from 30 days to 12 days using AI agents.

In this masterclass, we’ll show how AI agents can help Recruitment Process Outsourcing (RPO) teams consistently hit ambitious hiring targets, for example, 40 hires a month without burning out recruiters.

You’ll see how AI can take on the heavy lifting: sourcing, screening, scheduling, and keeping candidates engaged at scale.

We’ll share real examples of how RPOs can use Beam AI to speed up hiring cycles, improve candidate quality, and free up recruiters to focus on high-value conversations.

What Makes High-Volume AI Different:

Unlike single-position recruiting, high-volume hiring requires:

  • Parallel processing of hundreds of applications simultaneously

  • Multi-client coordination without candidate mix-ups

  • Quality consistency across large volumes

  • Scalable communication that still feels personal

You'll see exactly how AI agents handle these challenges and why traditional ATS systems can't compete.

About the Host

Sufyaan Jogee (Vertical Lead, HR & Recruitment, Beam AI): Sufyaan helps HR and recruitment teams use AI agents to scale high-volume hiring while maintaining speed and quality.

Reserve your spot - limited to 75 attendees.

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Presented by
Beam
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