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Implementing conversational AI revealed an unexpected fault line in their customer base for Laura Turner, Head of CX at S&S Activewear. Despite assumptions about how different customer segments would respond to automation, the split came down to something simpler: some customers want speed through self-service, and others insist on human connection regardless of request complexity. This insight forced a strategic pivot away from predetermined customer journeys toward self-selection, allowing customers to choose their own path while educating them on faster options.
The lesson extends beyond technology implementation to the foundation of successful CX programs: employee experience determines customer experience, and teams can't deliver exceptional service without proper training, tools, and processes. For example, when Laura implemented a Customer Integration Pulse survey to track sentiment through major system transitions, the real-time feedback revealed missed features critical to one customer base, enabling quick adjustments and transparent communication about roadmap additions.
Her approach to AI readiness challenges the myth of perfect data prerequisites. Instead of waiting for pristine datasets, she advocates identifying manageable friction points where automation drives measurable outcomes.
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By Level AIImplementing conversational AI revealed an unexpected fault line in their customer base for Laura Turner, Head of CX at S&S Activewear. Despite assumptions about how different customer segments would respond to automation, the split came down to something simpler: some customers want speed through self-service, and others insist on human connection regardless of request complexity. This insight forced a strategic pivot away from predetermined customer journeys toward self-selection, allowing customers to choose their own path while educating them on faster options.
The lesson extends beyond technology implementation to the foundation of successful CX programs: employee experience determines customer experience, and teams can't deliver exceptional service without proper training, tools, and processes. For example, when Laura implemented a Customer Integration Pulse survey to track sentiment through major system transitions, the real-time feedback revealed missed features critical to one customer base, enabling quick adjustments and transparent communication about roadmap additions.
Her approach to AI readiness challenges the myth of perfect data prerequisites. Instead of waiting for pristine datasets, she advocates identifying manageable friction points where automation drives measurable outcomes.
Topics Discussed:
Listen to more episodes:
Apple
Spotify
YouTube