The agentic AI era has arrived, and customer experience is leading the charge. But what does that actually mean for enterprises trying to plan, prioritise, and deploy responsibly?

In this interview, CX Today's Nicole Willing speaks with Martin Taylor, Co-Founder and Deputy CEO of Content Guru, about the real shift happening right now in AI-powered CX, and what leaders need to do about it.

The conversation covers:

What the transition from GenAI to agentic AI actually looks like in practice, which CX tasks AI agents handle reliably today, and which ones still need human involvement, and how to build on existing automation investments rather than starting from scratch. You’ll also learn why the MIT finding that 95% of GenAI projects failed should inform your agentic strategy, a practical framework for scoping your first pilots, and why CX is the natural home for agentic AI adoption.

Taylor also addresses a question many leaders are sitting with right now: is it better to wait and let others test the water first? His answer is clear, but nuanced, and worth hearing in full.

In this episode, Rob Wilkinson is joined by Steve Blood, VP of Market Intelligence at Five9, and Martyn Redstone, a consultant specialising in AI regulation.

Together, they unpack where CX teams are most likely to misread the Act, why “we bought it from a big vendor” is not a compliance strategy, and how governance needs to shift from dashboards to outcomes customers actually feel. The conversation also digs into the clash between legacy on-prem approaches and the EU AI Act’s expectations around logging, data visibility, and conformity assessments.

If you are running AI pilots in the contact centre, balancing cloud migration decisions, or trying to protect customer trust while innovating fast, this is your practical briefing.

If your AI agent fails, customers escalate to a human and you “pay double.” In this CX Today interview, Gautam Vasudev, SVP Agentforce Contact Center at Salesforce, breaks down what CX leaders should measure as they roll out agentic service, and why cost alone is a trap.

We cover where AI works best today (high-volume, low-risk queries), where customers still demand a human (complex, high-stakes scenarios like healthcare and finance), and how the frontline agent role changes when routine work moves to automation. Vasudev also outlines how Salesforce thinks about giving customers a clear path to escalate, and why the real differentiation is not basic workflows, but what you build on top of them.