Eight ways your talent pipeline breaks and what AI changes

Explore eight ways talent pipelines break and how agentic AI changes sourcing, screening and engagement.

What if some of recruitment's most established processes aren't best practice at all, but workarounds for human limitations?

Batching applications, comparing candidates against each other, adding more screening stages and relying on familiar signals may make hiring manageable, but they can also delay strong candidates, move the hiring bar and consume valuable recruiter and hiring-manager time.

In this practical, discussion-led session, Workable will unpack eight ways the traditional talent pipeline can break, from batching and recency bias to pipeline drift, late discovery and passive sourcing. Together with the IHR and TA community, we'll challenge which familiar recruiting practices are genuinely best practice and which exist because human attention has historically been the limiting factor. Through live audience polling, real customer examples and a practical look at agentic recruiting, we'll explore what changes when AI can continuously source, screen and engage candidates against a clearly defined specification and where human judgment still matters most.

What to expect:

• Spot the hidden compromises in your hiring process - recognise where batching, moving standards, inconsistent assessment and unnecessary stages may be affecting outcomes.
• Separate the candidate from the candidate pool - understand why assessing against an agreed specification matters more than finding the “best of the bunch.”
• Move discovery earlier - identify information you're currently learning in interviews that could be established before valuable hiring-manager time is spent.
• Challenge process complexity - distinguish stages that genuinely improve decisions from stages that compensate for weak information upstream.
• Understand what agentic AI changes - see how continuous sourcing, screening and engagement can shift recruiters toward judgment, relationships and closing candidates.