NP20 Applied AI in Executive Search

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Why AI?

AI is transforming the executive search industry by introducing sophisticated algorithms for candidate sourcing, predictive analytics for fit analysis, and natural language processing for resume evaluation. Its importance is underscored by the quest for operational excellence, the pursuit of unmatched candidate matches, and the strategic advantage in a competitive marketplace.

For any professional in this sector, this playbook will get you started on this urgent and inevitable journey. Don’t miss out on the AI revolution – download the paper, read and apply.


  1. Automated screening of resumes for faster candidate shortlisting.
  2. Predictive analytics to forecast leadership effectiveness.
  3. Natural language processing for in-depth analysis of candidate communications.
  4. Sentiment analysis to gauge leadership style and cultural fit.
  5. AI-driven simulations for assessing strategic decision-making skills.
  6. Machine learning for dynamic talent mapping and opportunity matching.
  7. Chatbots for initial candidate interactions and engagement.
  8. Behavioral assessment tools for understanding candidate motivators.
  9. AI-enhanced reference checking for thorough background evaluations.
  10. Career path analysis to identify potential leaders early in their journey.


(PDF, 24 pages, 10×10) This SoMe flipchart captures the main ideas from the paper, and you can post it to start an online conversation about AI in your industry with your colleagues, customers or partners.

(PDF, 2 pages, A4) This cheat sheet contains the main ideas from the paper, for your easy reference. Print it out on a double sided vertical A4, laminate and keep at hand for daily inspiration on AI.

To get started with AI, first do this:

  1. Assess AI Readiness: Evaluate current capabilities and identify gaps in data, technology, and skills.
  2. Pilot AI Projects: Start with small-scale AI applications in specific areas of the recruitment process to gauge impact and refine approach.
  3. Invest in Training: Ensure your team is equipped with the necessary AI knowledge and ethical guidelines to effectively implement and manage AI tools.
  4. Explore other resources on and check out the book “Explain for me AI”.
  5. Please contact us at for further exploration or inspiration through a talk, workshop or case study. We’d love to help!
Silvija Seres

Silvija Seres

Mathematician & AI Investor
SILVIJA SERES - Mathematician and AI investor
I have worked with AI for more than 30 years in research, development and strategy. I am very interested in helping companies drive successful digital transformation and AI applications. If you find this interesting, please get in touch on

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