AI Forum | June 11, 2026 3:00pm BST · 10:00am EST

The End of the Sift: How TA Leaders Are Rethinking Selection

Sifting worked when applications were manageable, CVs carried clearer signals, and recruiter time was the main constraint. Those conditions have changed. Application volume has climbed. AI has produced polished, samey applications.

TA teams are now facing a harder question: when every candidate looks qualified on paper, what evidence can they actually trust?

This AI Forum explores what replaces the sift: evidence-based selection, more defensible decisions, and recruiter judgement focused on validation rather than triage.

Madeline Laurano brings the research on where the market is moving. Hayley brings the product and practitioner view on what good looks like in practice. They’ll give an honest read on what’s changing, what TA leaders should be watching, and how to act before the next hiring cycle exposes the gap.

Meet Our Speakers

Madeline Laurano

Founder & Chief Analyst, Aptitude Research

Madeline is the founder and chief analyst of Aptitude Research, specialising in talent acquisition, employee experience, and HCM technology. With more than 18 years’ experience analysing the talent market, she brings a buyer-side view of how organisations are rethinking hiring, selection, and the role of AI in improving business outcomes.

Hayley Skivington

Hayley Skivington

Head of Product, Oleeo

Hayley is Head of Product at Oleeo, where she leads the product strategy of talent acquisition technology designed for complex, high-volume hiring environments. She works with customer and product teams to translate real recruitment challenges into practical, responsible AI solutions that support better, more consistent hiring decisions.

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What You’ll Take Away

  • Why volume is no longer the real screening problem
    You’ll leave knowing what to fix instead, and what to stop investing in.
  • How AI is changing what “qualified” means
    And how your screening process should adapt in response.
  • What evidence-based selection looks like in practice
    Real examples of how TA teams are moving from keyword matching and gut feel to evidence and human validation.
  • Defensibility is becoming a selection requirement
    The questions TA leaders should be asking now about explainability, bias, audit trails, and human oversight.
  • Where to start without rebuilding everything
    Practical first moves to improve selection quality without overhauling your entire hiring process.

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