Study Reveals Why AI Investments Fail to Improve Customer Satisfaction
ServiceNow research shows UK customers lose 445 million hours annually dealing with poor customer service, despite widespread AI adoption. The disconnect is stark: organisations believe AI is working. Customers experience something different.
The study surveyed 34,000 executives, service agents, and consumers globally, including 2,465 UK respondents. The average UK consumer wastes 9.7 hours per year navigating slow, fragmented service experiences-more than a full working day.
Speed Without Empathy
Nearly half of UK consumers say AI has improved customer service. After-hours support and 24/7 availability have both improved measurably. Speed and efficiency are real gains.
Yet 51% of UK consumers cite lack of empathy as their top frustration. 53% would switch to a competitor after one poor or slow experience. Faster responses alone do not build loyalty.
The problem is structural. Most CRM systems were built to record interactions, not resolve them. The result is faster routing that still feels impersonal and disconnected.
Channel behaviour exposes this contradiction. While 82% of UK customers prefer phone support, 76% attempt self-service first. Nearly half say current chatbots fail to understand their questions.
Customers are not rejecting AI for Customer Support. They are rejecting experiences where automation cannot escalate cleanly, share context, or hand over ownership.
The Agent Bottleneck
Service agents spend just 49% of their working week actually addressing customer issues. The rest disappears into administration, system-hopping, and information chasing.
Nearly eight in ten agents must log into three to five systems to resolve a single issue. More than a third cite inconsistent customer data as a major challenge.
This fragmentation undermines both AI and human performance. AI tools trained on partial data cannot act with confidence. Agents without a single view of the customer cannot show empathy at speed.
Leadership and Customers See Different Problems
A perception gap separates customer frustration from executive priorities. While lack of empathy tops customer complaints, only 20% of UK executives prioritise it.
Nearly half of customers are frustrated by being transferred between departments. Fewer than four in ten executives see this as a major issue.
When AI and human agents operate in different systems with different views of the customer, empathy breaks down. This misalignment explains why AI investments often deliver technical success but emotional failure.
From Record-Keeping to Action
Fewer than half of UK organisations have integrated data into a single source of truth. Less than one in four have enterprise-wide AI strategies that break down departmental silos.
CRM must evolve from a system of record into a system of action. That means unifying front office and back office workflows so Generative AI and LLM tools can move beyond answering questions to actually resolving issues.
Without that shift, AI remains an interface layer. With it, AI becomes an operational engine.
The next phase of CX transformation will not be defined by smarter bots or faster responses. It will be defined by organisations that redesign service around ownership, continuity, and empathy.
AI can scale speed. Only connected systems can scale trust.
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