Everyone wants AI in Talent Acquisition. But how many TA functions are actually ready for it?

Organizations are racing to adopt AI-powered tools while overlooking the foundations required to make them effective: consistent processes, reliable data, integrated technology, clear governance and teams equipped to work differently.

In this practical session, Rob Devlin introduces a five-dimension AI maturity model designed specifically for Talent Acquisition. Attendees will explore how to assess their organization’s readiness, identify the gaps between AI ambition and operational reality, and determine where to focus before investing further.

Rather than another conversation about what AI can do, this session tackles a more important question: what needs to be true for AI to deliver meaningful results?

Participants will leave with a practical framework for evaluating their current position and identifying their next steps towards responsible, sustainable AI adoption.

Key Takeaways

Assess AI readiness across five critical dimensions of TA maturity.
Identify foundational gaps in processes, data, technology, people and governance.
Understand the difference between being ready to experiment with AI and being ready to scale it.
Prioritize practical actions that address the root causes of AI implementation challenges.
Apply a structured approach to move from AI ambition to measurable business outcomes.