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AI Agents, CRMs & the Future of Recruitment with Matt Comber of SourceFlow

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About this episode

Nitin speaks with Matt Comber, MD of SourceFlow, about the evolution of recruitment technology beyond current buzzwords. They explore agentic AI and its practical applications for recruiters, the decline of traditional CRMs in favour of AI interfaces, and how pricing models like token-based systems could disrupt the industry.

The conversation covers the potential of Model Context Protocol to solve recruitment data fragmentation, why some AI tools work better in high-volume markets than white-collar sectors, and SourceFlow's developments including an AI job search powered by Gemini 2.0. Matt and Nitin also discuss ethical considerations in AI recruiting, candidate bias, and the responsibility recruiters hold when using these technologies.

Key takeaways

  • Agentic AI represents a significant shift in how recruitment technology will operate and support recruiter workflows.
  • Traditional CRMs are being replaced by AI interfaces that offer more sophisticated capabilities.
  • Token-based pricing models will disrupt the current seat-based pricing structure across recruitment tech.
  • Model Context Protocol could unify fragmented recruitment data systems.
  • Recruiters must understand their responsibility in using AI ethically to avoid perpetuating candidate bias.

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