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AI in Customer Service and How to Automate Without Losing the Human Touch

  • 2 days ago
  • 4 min read

Abisola Fagbiye is a Customer Experience Strategist and Microsoft 365 Productivity Consultant with a Professional Diploma in CX from The CX Academy, Ireland. A WiCX member, she transforms how businesses connect with customers, turning interactions into drivers of loyalty and growth.

Executive Contributor Abisola Fagbiye

Many companies are eager to roll out AI chatbots to save costs, while customers often tell researchers they'd prefer to wait for a human. Both perspectives are understandable, but the real question is: which customer interactions should never be automated, and which ones truly need the quick response only machines can offer?


A person with curly hair uses a tablet displaying a menu in a dim café. Bottles and a sign are on the table. Mood is focused.

Companies are rushing to adopt AI chatbots, attracted by promises of cost savings and 24/7 support. At the same time, many customers report preferring to speak with human representatives and don't want AI to handle their problems. Both perspectives are understandable, but each overlooks some key points.


According to MarketsandMarkets, the AI customer service market is expected to grow significantly, from $12.06 billion in 2024 to $47.82 billion by 2030. The efficiency improvements are real and impressive. However, PwC research reveals that 59% of consumers feel that companies have lost the personal touch that makes customer experience special. Numerous studies show that most customers still prefer to wait for a human representative rather than interact with chatbots, often because of frustrations with AI's current limitations.


The real question isn't whether to use AI, but rather where AI can add genuine value and where it might harm the human connections that matter most.

 

What AI does well


AI is excellent at handling specific tasks, making a big difference in how quickly we respond and meet customer needs. For simple questions like checking order status, return policies, or store hours, speed is key, what matters most is quick help, not where it comes from. Being available 24/7 means we can prevent frustration from needing support outside business hours. Routine query handling frees human agents for complex problems. Intelligent routing helps customers get to the right agent faster by carefully analysing their questions, history, and our team's expertise.

 

What AI fails at


AI has limitations, too! Navigating complex emotional situations truly calls for human empathy. When customers feel frustrated, scared, or angry, they need someone who can genuinely understand and connect with their experience. Unique problems often require human creativity and intuition. Since AI learns from past data patterns, it can struggle with unfamiliar or unprecedented situations, sometimes giving responses that miss the mark or even hallucinate. Essential decisions involving money or serious consequences also benefit from human accountability, as customers want to feel confident that a person is taking responsibility.

 

Build hybrid architecture


The companies seeing the highest returns have embraced a hybrid and collaborative approach rather than choosing between automation and human service. AI handles initial contact and triage, offering quick acknowledgement and intelligent routing. For example, AI can suggest responses or provide customer history to support human agents in real time. Humans step in to handle more complex issues and emotional situations. Support agents using AI tools often feel more confident and capable, which improves overall service quality. Smoothly escalating issues when AI hits its limits helps keep interactions seamless. It's also essential to understand response time expectations when planning how to split tasks between AI and humans.

 

Transparency is non-negotiable & deploy strategically


Customers are more open to AI when they understand its purpose and feel confident, they can reach a human if needed. Clear communication about AI use builds trust and reassures customers about their experience.


Research from Salesforce shows that when companies deploy AI thoughtfully, they experience clear improvements in efficiency and satisfaction. Strategic use of AI, focusing on routine tasks, empowers your team to deliver better service and maintain customer trust.

 

Implementation principles


Start by mapping out how your customers interact with you. Think about which questions are simple enough for AI to handle and which ones need a human touch. Create a smooth process for escalating issues before you set up automation. Keep track of customer satisfaction separately for each channel. If AI isn’t meeting expectations, consider narrowing its responsibilities and investing the savings to improve human services.


It’s expected that AI will take on more customer interactions in the future. But the interactions that still require a human will become even more critical. As AI handles routine questions, customers reaching out to human agents will often have more complex needs, stronger emotions, and higher expectations. The winning companies will be those that use AI to enhance human services, making them more valuable rather than replacing them entirely.

 

Ready to help your organisation navigate AI without losing the human touch? The keynote "Kill the Script: Human Connection Wins Every Time" tackles exactly this challenge. While everyone rushes to automate, this presentation shows where technology enhances service and where it destroys the relationships that drive loyalty. Your teams will learn which moments demand human empathy and which benefit from machine speed. Book this keynote, or email abisola@abisolafagbiye.com


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Read more from Abisola Fagbiye

Abisola Fagbiye, Customer Experience Strategist

Abisola Fagbiye is a Customer Experience Strategist and Microsoft 365 Productivity Consultant who helps organisations rethink engagement, build CX-driven cultures, and drive retention and growth. With global experience spanning SMBs to enterprises, she delivers workshops and training that blend strategy, energy, and actionable insight. She is a mentor and rising voice in CX leadership.

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