Quarterly Best Practice Series - Unlocking Agentic Recruiting Excellence
From Automation to Agentic: Redesigning Talent Acquisition for the AI-First Era
Artificial Intelligence is no longer a pilot project in talent acquisition — it is redefining how recruiting organizations are structured, measured, and scaled.
Yet most companies are making the same mistake: layering AI onto legacy workflows instead of redesigning their operating model around it.
In this leadership-only session, Michael Watson, Director of Customer Agentic Enablement at Eightfold AI, will walk through a practical framework for transforming AI Interviewer from a feature into a strategic lever.
This is not a product demo.
This is a forward-looking conversation for TA and HR leaders who are asking:
- Why are humans still doing first rounds?
 - What is the true cost of recruiter screening time?
 - How do we build trust in AI-driven evaluation?
 - What does a 30–50% recruiter capacity lift actually require?
 - If we were starting from zero, how would we design our recruiting organization today?
Drawing from real enterprise implementations, this session will explore:
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The operating model shift from “screeners” to “Talent Strategists”
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The governance and calibration discipline required for AI trust
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A three-phase rollout framework (Foundation → Engagement → Intelligence)
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Executive-level adoption, productivity, and ROI metrics
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Common pitfalls that stall transformation
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How to move from automation to agentic recruiting
As AI becomes embedded in the enterprise, HR is no longer supporting transformation from the sidelines — it is architecting it.
This session is designed specifically for:
- Heads of Talent Acquisition
 - CHROs and HR Executives
 - Talent Transformation Leaders
 - Workforce Strategy & Digital HR Leaders
If you are evaluating AI Interviewing, running pilots that haven’t scaled, or rethinking recruiter capacity in the age of AI — this conversation will provide the strategic clarity needed to move forward with confidence.
The future of recruiting will not be optimized. It will be redesigned.
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