Does a Chatbot Help or Hurt Your Customer Relationships?

According to Gartner, 64% of customers would prefer that companies use no AI in customer service at all. That number stops people in their tracks. But here is what it actually tells you: customers are not anti-technology. They are pro-reassurance. They want to know that if something goes wrong, a real person is there.

Every purchase is also an emotional purchase. You know this. And that emotional dimension becomes louder the moment something breaks down. My order did not arrive. The product does not work. I need an invoice for my tax return. Those are the moments when customers ask themselves: how easy is it to actually reach someone here? Will I get stuck in a loop? Will I hit a wall?

For smaller businesses, this dynamic is even more personal. The customers you have chosen you specifically. They like working with you. The chemistry is right. They feel well looked after. When a chatbot suddenly appears where a person used to be, that is not automatically a problem. But it is a shift they feel, and if the transition is rough, they feel let down. The service they counted on has quietly changed, and nobody warned them.

I experienced this firsthand on a vacation. We had booked a rental home, and the whole booking process ran through an AI chat on WhatsApp. Honestly, it worked beautifully. Questions answered quickly, and when something was too complex, I got a message: "We cannot help you here. A team member will respond within the hour." That is a warm handoff done right.

Then we arrived on a Saturday. The stove did not work. I opened the same WhatsApp chat, sent my message, and got a reply that a technician would be in touch. We left Monday morning. Nobody had called. Nobody had written. Nothing.

That is what I call the broken thread. In German I would say "abgerissener Faden," and the image is exactly right: the conversation starts, the customer holds one end of the thread, and then the other end just drops. The chatbot hands off to a person who never actually shows up.

The difference between a warm handoff and a cold one is simple. In a warm handoff, the person taking over knows everything the customer already said. No repeating. No re-explaining. The thread stays intact. In a cold handoff, or when there is no handoff at all, the customer starts from zero, or worse, waits in silence.

Picture this: a customer has a question, the chatbot doesn't understand it, and there's no phone number, no email address, no contact form anywhere on the page. Just the bot. That's what I call a dead end, or in the original German term from the source: die Sackgasse. A one-way street with no exit.

I experienced a version of this myself. I'd booked an online service, paid for it, and needed an invoice to claim my VAT back. The chatbot couldn't find what I was looking for, kept redirecting me to the same unhelpful pages, and I spent 15 minutes going in circles before I even found a customer service page. I eventually sent an email, got an automated reply pointing me back to the exact same dead-end pages, and only in tiny print at the bottom did it mention a real contact address. Twenty minutes wasted on something that should have taken two.

That's the core problem. It's not that customers are against chatbots. Most people will happily try the bot first if they know a real person is reachable. The moment they feel trapped, the mood shifts fast. And the fear behind that shift isn't irrational: every purchase carries an emotional dimension. What happens if something goes wrong? Who do I call? Is there anyone actually there?

According to Gartner research, 64 percent of customers would prefer companies not to use AI in customer service at all. That number doesn't mean AI is wrong. It tells you exactly what the underlying fear is: not the technology itself, but the loss of human access.

Every road needs an exit. The fix is straightforward: a visible phone number, an email address, or a contact form alongside the chatbot. A clear button inside the chat that connects to a real person at any point. In customer experience terms, this is called the escape hatch, a way out that exists and actually works. Customers who know that exit is there will use the bot freely, because the safety net is visible. Take the exit away, and the bot itself becomes the problem.

Here is what the endless loop actually feels like from the inside. I booked an online service, paid for it, and needed a proper invoice to claim the VAT back. Simple request. I searched the platform, typed in every keyword I could think of, and kept landing on the same unhelpful page. Fifteen minutes later, I had gone nowhere. I eventually tracked down a contact email, wrote my question, and got a reply within two minutes. From a chatbot. Sending me back to the exact same page I had already visited three times.

That is the endless loop. The customer is not being ignored. The system is responding. But every response points right back to where the customer just came from. The technical term from customer protection law is exactly what it feels like: going around in circles.

Klarna learned this the hard way at scale. In 2024, the CEO publicly announced that AI would replace 700 service agents, cutting costs so prices could drop. Less than a year later, the same CEO admitted that the focus on cost savings had severely damaged service quality. Today, Klarna's AI handles simple questions, and personal contact has been repositioned as a premium feature. If a company that size had to reverse course so publicly, the warning is clear: chasing efficiency without a human backup does not save money. It costs customers.

The practical test is straightforward. Take the five questions your customers ask most often and put them to your own chatbot right now. Count the clicks before you get a useful answer or reach a real person. If that number climbs above three and no handover happens, your customers are experiencing the same problem. That is not a minor inconvenience. That is the moment a loyal customer starts looking elsewhere, often without saying a word.

As I say: chatbot plus human is always a pair. The chatbot handles the volume. The human closes the loop. Two rounds, and then a person takes over. That single rule prevents the endless loop from forming in the first place.

Chatbot plus human is always a pair. That is the principle, and everything else follows from it. The three mistakes described earlier each have a direct, practical fix, and none of them require expensive technology changes.

Fix one: a fixed callback commitment. When a chatbot cannot resolve something, it tells the customer exactly when a real person will follow up, same day or first thing the next morning at the latest. That person takes over with a warm handoff, meaning they already know everything the customer wrote in the chat. The customer does not repeat the story. That single detail, no repetition, is what separates a smooth handoff from a frustrating one.

Fix two: a visible exit on every page. Every dead end needs a way out. A phone number, an email address, a contact form, or a clearly labeled button inside the chat that switches to a human at any moment. In service design this is sometimes called an escape hatch: a guaranteed exit from the loop. Customers are not against chatbots. They are against feeling trapped. When they know the exit exists and actually works, they will use the chatbot willingly, because the safety net is there.

Fix three: the two-rounds rule. If a chatbot fails to understand a question twice, it hands the entire conversation, with everything the customer already wrote, to a team member. No more loops. Run your own quick test: ask your chatbot your five most common customer questions and count the clicks before you reach a real answer or a real person. More than three clicks without a handoff tells you exactly what your customers are experiencing right now.