How to Build a CHRO–CIO Partnership That Actually Scales AI Across the Enterprise

About the Panel Discussion

Most organisations aren’t failing at AI because the tech is weak — they’re stalling because the people system can’t keep up. The data shows many companies are stuck between experimentation and full integration (the “messy middle”), where leadership alignment, skills, change readiness, and cross-functional execution become the real bottlenecks. The gap between early-stage adoption and true AI maturity is heavily influenced by how HR and IT work together, especially how the CHRO partners with the CIO. 

The opportunity is huge if you invest in the right operating model now: AI leaders report markedly stronger outcomes, including higher staff productivity, profitability, and retention/loyalty, and they’re far less likely to be derailed by the classic “human barriers” like AI skills gaps, resistance, and silos. The risk of not moving is just as clear: you end up with stalled pilots, fragmented adoption, rising employee scepticism, and competitors who redesign work faster than you can recruit for it. They’ll discuss the practical playbook leaders use — from role-based AI upskilling and centres of excellence, to governance guardrails that keep AI trustworthy, to leadership metrics that prove real business impact. 

Join a LIVE interactive panel discussion where you will learn how to strengthen the CHRO–CIO partnership to accelerate AI maturity, how to build an AI-ready skills strategy that closes capability gaps at speed, how to put governance and ethics guardrails in place without slowing innovation, and how to prepare your workforce for a future where humans and AI agents operate side-by-side.

Discussion Topics

• CHRO–CIO operating rhythm: How they’ll align talent, tech, and change leadership so AI doesn’t stay trapped in pilots. 

• AI skills at scale: How they’ll build role-based upskilling, AI literacy, and adoption loops that close the skills gap and reduce resistance. 

• Responsible AI guardrails: How they’ll design governance, security, and ethics controls that protect trust while enabling speed. 

• Human + AI agent workforce: How they’ll redesign work, plan future skills, and prepare leaders to manage digital workers alongside people.