UK businesses don't have a CX innovation problem. They have an operational readiness problem.

Why operational readiness matters more than AI adoption

by · TechRadar

Opinion By Ajay Awatramani Published 11 August 2026

(Image credit: Shutterstock)

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UK organizations are racing to modernize customer experience. AI-powered chatbots, agent assistants, workflow automation, and self-service tools are rapidly becoming standard across customer operations as businesses look to improve responsiveness, reduce pressure on frontline teams, and meet rising customer expectations.

But many organizations are discovering that deploying new technology is the easy part. The harder challenge is making those systems work reliably in the real world.

Ajay Awatramani

CPO at Five9.

Too often, businesses are layering AI tools onto disconnected data, siloed systems, and infrastructure that was never designed for real-time customer engagement. On paper, the technology stack looks modern. In practice, customer experience still feels fragmented.

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Customers are passed between channels without context. They repeat information multiple times.

Automated systems provide inconsistent answers. Human agents lack visibility into previous interactions. The result is a more complicated customer journey. This is becoming one of the defining challenges of enterprise AI adoption. For years, organizations focused on adding more digital capabilities to customer operations. Now, AI is exposing the operational weaknesses those businesses already had underneath.

The conversation around customer experience transformation has largely focused on speed and innovation. But the more important question is whether organizations can deliver AI-enhanced experiences consistently, accurately, and responsibly at scale. This is where trust becomes critical.

Customers are less forgiving of AI mistakes

In customer experience environments, trust is fragile. A delayed response may frustrate a customer. An inaccurate response can damage confidence entirely. This becomes especially important as generative AI moves into customer-facing interactions.

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