Why former Kimberly-Clark CX leader isn't worried about AI taking over

<p>Most CX teams report satisfaction scores. If yours disappeared on Monday, whose week would actually break? That answer decides whether it survives AI.</p><p>Rania Brand ran global CX and service design at Kimberly-Clark, where customer experience sits inside the operating model rather than beside it. In this conversation she argues that AI changes almost nothing about the CX equation — it only raises the cost of weak foundations — and explains why the teams that come through it will be the ones already load bearing somewhere else in the business. Along the way: why NPS only tells you a fire started, which KPIs are &quot;in the now&quot;, and what enterprises should be copying from government digital services.</p><p><br></p><p>ABOUT RANIA</p><p>Rania Brand  is a senior product &amp; experience leader, who was Associate Director of Global CX and Service Design, and Global Product Manager, at Kimberly-Clark. Before Kimberly-Clark she spent fifteen years at IBM, including four and a half years working in government, which she describes as the clearest example she has seen of experience operationalised as institutional capability rather than run as a programme. Her work centres on connecting customer experience to the KPIs a business already reports — revenue leakage, cycle time, inefficiency — instead of leaving CX to defend itself with satisfaction scores. She publishes on Medium and LinkedIn.</p><p><br></p><p>KEY TAKEAWAYS</p><ul><li><p>AI is another actor in the blueprint, not a new equation — the foundations question is unchanged.</p></li><li><p>NPS and CSAT tell you a fire started; they never tell you which room.</p></li><li><p>If your CX team vanished and nobody&#39;s Monday broke, it was an initiative, not a function.</p></li><li><p>CX survives by being load bearing inside supply chain, pricing and finance, not beside them.</p></li><li><p>Solve deeply in one market, then export the design principles rather than the solution.</p></li></ul><p>CHAPTERS</p><p>00:00 Introduction </p><p>00:30 Why AI doesn&#39;t change the CX equation </p><p>02:52 NPS tells you there&#39;s a fire, not which room 06:35 The shadow IT risk in democratised AI </p><p>11:15 Why CX teams resist AI out of fear </p><p>12:30 Load bearing CX versus CX as a department </p><p>16:48 The Monday morning litmus test </p><p>19:52 What enterprises can learn from government digital services </p><p>30:39 Why data foundations don&#39;t change how people work </p><p>35:38 Incentives versus more s