The Dual CX Shift: When Both Sides Have AI
For fifty years, CX assumed the company controls the technology. That assumption is breaking. Customer-side AI is already in market — and almost nobody is designing for it.
ReadWhere we work through ideas about customer service, AI, and the space between.
For fifty years, CX assumed the company controls the technology. That assumption is breaking. Customer-side AI is already in market — and almost nobody is designing for it.
ReadMost organisations don't fail because of their data. They fail because they never define the deal with their customers.
ReadWe asked 25 senior leaders what role their organisation plays in employees' lives. Every one could recite their values. Only one could answer the question.
ReadMost CX leaders are focused on the company's AI. But the real disruption is the customer's AI.
ReadWhen things wobble — sales dip, call volumes spike, NPS flattens — the instinct is to act visibly. Dashboards. KPIs. Taskforces. It looks like control. But it's a trap.
ReadIn the tea ceremony, the person who designs the experience is the person who serves. There is no split.
ReadThere's a particular kind of paralysis that settles over an industry in the middle of a technological shift.
ReadI'm not aloof. I'm just not performing belonging.
ReadMost companies are feeding their AI junk — stale knowledge articles, inconsistent agent responses, undocumented workarounds. A high-quality information diet isn't a nice-to-have.
ReadRolling out a chatbot isn't leadership. It's procurement. The real value of AI in service isn't the interface — it's the data.
ReadMost outsourcers aren't incentivised to fix customer problems. Their business model relies on volume. More contact, more revenue.
ReadThe same platform engine serves company services and human services. The per-deployment differences are configuration, not architecture. Build once, deploy for any context.
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