Essay · June 2026
Why Customer Experience Still Matters in an AI-Driven World
AI is no longer optional — but the path from pilot to practice is perilous. CX leaders must navigate it without sacrificing trust, culture or brand.
Artificial intelligence is no longer optional. A majority of customer-experience (CX) leaders say generative AI has forced them to re-evaluate their entire customer experience and plan to embed AI across many touchpoints within the next two years. Yet more than sixty percent also admit they feel pressure to adopt AI — even if they aren't ready. As HALO's CSXO, I see that tension up close: businesses know AI is the future, but the path from pilot to practice is perilous. My job is to help them navigate that journey without sacrificing trust, culture or brand.
AI Should Augment Human Judgment, Not Replace It
Tools don't create better decisions — people do. Microsoft's 2026 Work Trend Index found that 66% of AI users say AI allows them to spend more time on high-value work and 58% produce work they couldn't a year ago. Yet AI doesn't absolve leaders of responsibility: half of AI users say quality control becomes more important and nearly as many emphasise critical thinking. Eighty-six percent treat AI output as a starting point, not the final answer. When HALO orchestrates decision loops, we design them around this reality: AI accelerates insight, but humans remain accountable.
AI that supports people instead of supplanting them also drives better outcomes. Research shows companies combining humans and AI outperform automation-only approaches by a factor of three and enjoy 38% higher revenue growth with 10% workforce expansion. That's why our first principle is to assist and augment before we automate. LEO, our AI executive advisor, doesn't replace leaders; it frees them to focus on judgment.
The future is not AI vs. humans — it's AI and humans, working in concert.
The Readiness Gap Is Real
Despite enthusiasm, most organisations aren't prepared. A recent McKinsey survey found that 86% of leaders feel their organisations are not prepared to adopt AI in day-to-day operations and one in six has no clear C-level owner for AI adoption. Deloitte's State of AI report reported that 42% of companies believe their strategy is highly prepared for AI adoption, yet feel much less prepared when it comes to infrastructure, data, risk and talent. Fragmented systems, inconsistent data and weak governance slow progress. In customer service, only about a third of leaders automate intent detection with AI and fewer than half of agents have received AI training.
This gap explains why so many pilots stall. MIT research on 300 generative-AI deployments found that 95% of pilots fail to produce meaningful P&L impact. The biggest barriers weren't algorithms but organisational factors — change management, culture and leadership accountability. In other words, success requires more than buying technology; it demands a rethink of how people work together.
Experience Is the New Differentiator
Customers increasingly expect AI-augmented service to be not only faster, but more human. Zendesk's 2026 CX Trends report notes that 70% of CX leaders believe generative AI has led their organisations to rethink the customer experience and that 75% see AI as a force for amplifying human intelligence, not replacing it. At the same time, 62% of CX leaders feel pressure to deploy AI and 70% plan to integrate AI into many customer touchpoints within two years. Employees are ready: 83% say AI's decision-making capabilities are a major highlight, and 80% believe AI has improved the quality of their work.
Yet the gulf between intent and execution is wide. Less than half of agents have been trained on AI tools, and 72% of leaders say they provided adequate training while 55% of agents disagree. At HALO, we embed AI inside the tools teams already use, provide just-in-time training and measure adoption — not just deployment. We also respect that trust is hard-won: in highly regulated industries like financial services or franchising, AI must be transparent, explainable and aligned with fair-lending and data-privacy obligations.
Designing for the Five Loops
Great experiences don't happen by accident; they emerge from strong feedback loops. HALO's operating model runs on five loops: Planning, Execution, Measurement, Learning and Adaptation. Many organisations invest heavily in dashboards (measurement) but neglect the loops that connect insights to action; this "decision latency" can be costlier than the original disruption. Our job is to ensure that AI insights flow seamlessly into workflows, that decisions are recorded and auditable, and that teams learn and adapt quickly.
To do this, we insist on clarity before technology. When evaluating AI initiatives, we ask:
- What problem are we solving and how does it connect to the balance sheet? If an initiative doesn't clearly reduce risk, grow revenue or cut costs, it's a science project.
- How will AI integrate into our existing systems and workflows? AI should reduce complexity, not create new workarounds.
- What are the governance and compliance implications? We work with risk and legal teams early because AI touches data, models and fairness.
- Do we have the right training and change-management plan? AI is as much a people project as a tech project.
- How will we measure success? We define leading and lagging indicators for both employee experience (e.g., adoption, time savings) and customer experience (e.g., satisfaction, retention).
The Path Forward
Being at the centre of HALO's service experience taught me that the future is not AI vs. humans — it's AI and humans, working in concert. The organisations that thrive will be those that choose the right AI, integrate it thoughtfully, and invest as much in culture and process as in technology. They will see AI as a partner in judgment, not a replacement for it. They will build loops that learn, adjust and respect the human element.
As leaders, we must move beyond fear of missing out and focus on purposeful adoption. Customer expectations are rising; experiences are the new battleground. AI can elevate those experiences — but only if we put people at the centre. That is the mandate of a CSXO and the mission we pursue at HALO every day.

About the author
Liz West
Chief Service Experience Officer, HALO
Liz is HALO's Chief Service Experience Officer (CSXO), helping leaders integrate AI into customer experience without sacrificing trust, culture or brand. She writes here on CX strategy, human-in-the-loop design, and turning AI pilots into durable practice.
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