Across enterprises, AI has moved well past the pilot stage. Most CIOs today are managing a growing portfolio of use cases across functions, from automation and decision support to employee-facing digital experiences. The real challenge now lies in turning this momentum into something more structured, scalable, and sustainable.

While some initiatives are delivering clear gains in efficiency and productivity, others remain held back by fragmented data, integration challenges with legacy systems, or the difficulty of embedding AI into day-to-day operations. In many cases, the gap isn’t about technology capability but about execution, connecting the right use cases to business priorities, ensuring data readiness, and building the operating model required to scale. A growing share of this impact is now being realised within employee-facing workflows, making the digital workplace a critical layer in how organisations operationalise AI effectively.

At the same time, there is increasing pressure on CIOs to demonstrate measurable impact, whether through cost optimisation, improved employee experience, or faster, more informed decision-making. This is happening alongside a parallel need to ensure data security, compliance, and responsible AI adoption, particularly as AI becomes more embedded in core workflows.

This closed-door roundtable jointly organised by IDC and Darwinbox brings together senior technology and HR leaders to exchange practical insights on what it really takes to operationalise AI at scale. The conversation will focus on lessons from the ground; what’s working, where organisations are facing friction, and how leaders are navigating the complexities of data, infrastructure, and governance while continuing to drive innovation forward.