When AI Makes Customer Service Worse

When AI Makes Customer Service Worse

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AI can absolutely improve efficiency, but businesses often misuse it in the place it hurts most: customer interaction. Gayle Rogers describes a simple phone call that should have taken two minutes but turned into a six-minute loop with an AI agent repeating prompts, failing to capture basic information, and still sending him to voicemail. His point is not that AI is bad. It’s that over-automation creates friction, frustrates customers, and erodes trust. This article breaks down why “smart” automation can become a wall between you and your customers, how simplicity often improves service, and a practical framework for deciding where AI belongs and where a human should stay in the loop.


Key Points

Automation should reduce friction, not create it

If the customer’s path gets longer, more confusing, or more repetitive, the automation failed.


Poor AI implementation damages customer experience

Bad automation doesn’t just annoy people; it makes them feel dismissed.


Human interaction still builds trust

Customers want to be heard, understood, and helped by a real person when the moment matters.


Simplicity often improves service

A receptionist answering the call beats a “smart” system that can’t resolve basic intent.


Technology should support communication, not block it

The goal is to serve customers faster, not to hide from them.


“Stop abdicating customer interaction to AI. It’s the worst possible use for it… Stop trying to disconnect from people for all that is holy. Talk to your customers.”



The Worst Possible Use of AI

AI is powerful when it speeds up internal work, removes repetitive admin, and helps teams move faster. But Gayle Rogers argues there is a line you should not cross: using AI to replace customer interaction as a default. He calls it “the absolute worst use of AI in the history of anything” because it turns the very thing that creates trust, human connection, into a maze.

This matters because most businesses don’t lose customers only to competitors. They lose customers to friction. People don’t have time to fight a system just to ask a question. And when they feel blocked, they attribute that feeling to the brand, not the tool.

When Automation Creates Friction

Automation is supposed to shorten steps. When it adds steps, it becomes a liability.

Rogers gives an example that every decision-maker should pay attention to. He called a local business to ask permission for a video shoot. The call was answered by an AI agent, “I think named Eric,” which immediately began a pitch and then demanded to know who he wanted to connect with without offering guidance.

The Six Minute Call Problem

The moment the call became difficult, the whole experience collapsed. Rogers says he had to repeat his name four times because the system kept responding with the same block: it needed his name before it could move forward. Then it asked for his phone number “in case we get disconnected” and repeated the number back one digit at a time. Eventually he reached a real receptionist, but the receptionist wasn’t even taking calls because the AI was acting as the gatekeeper. The end result was still voicemail. What should have been a two-minute call became a six-minute call.

This is the key lesson: bad AI doesn’t feel modern. It feels like the business is hiding.

Efficiency Without Connection Is a Trap

There is a difference between automation that helps a customer and automation that protects a company from customers. The first reduces friction. The second increases it.

When a system makes a customer repeat information, mishears them, or refuses to move forward, it communicates something you would never say out loud: your time matters less than our process. That perception damages trust, and trust is the foundation of conversion, retention, and referrals.

Businesses often justify this with efficiency. But efficiency that drives customers away is not efficiency. It’s cost-cutting disguised as innovation.

Where AI Helps and Where It Hurts

AI can be excellent in customer service when it supports humans rather than replacing them.

Good uses typically include:

  • Routing and triage when it’s fast and accurate
  • Drafting internal summaries for agents to respond faster
  • Suggesting answers to common questions while a human stays accountable
  • After-hours intake that promises a next-day callback with a real person

Bad uses look like Rogers’ example:

  • AI as the primary gatekeeper to a human
  • Systems that require repeated inputs to proceed
  • Long verification scripts before the customer can explain what they need
  • AI that forces voicemail anyway

Keep Humans in the Moments That Matter

A simple rule helps. If the customer’s intent is emotional, urgent, or ambiguous, keep a human in the loop. If the customer is trying to do something simple: book, ask, confirm, then automation must make it faster, not slower. If it can’t, remove it.

A Simple Audit to Fix the Experience

If you want to avoid becoming the business people complain about, run a quick audit this week:

  1. Call your own number from a mobile phone in a noisy environment and time how long it takes to reach a human.
  2. Track how many times you’re asked to repeat name, number, or intent.
  3. Ask: did the system make the experience easier, or did it block the customer?
  4. Identify the top five customer intents and ensure each resolves in under two minutes.
  5. Add an immediate escape hatch: “Press 0 to speak to a person.”
  6. Train your humans to pick up where automation stops, not restart the interrogation.

Rogers’ advice is direct for a reason. Technology should support communication, not stand between you and the people who pay you.


FAQs

What is the biggest risk of using AI in customer service?

Short answer: It can create friction and make customers feel blocked instead of helped.

Long answer: The biggest risk is turning a simple interaction into a frustrating process, which customers interpret as the business avoiding them. Rogers’ example shows how repeated prompts, poor recognition, and forced steps can stretch a two-minute need into a six-minute ordeal. Even if the intent is efficiency, the outcome is distrust. If AI can’t shorten the path and improve clarity, it should not be the first line of customer contact.

How do I know if our automation is hurting the experience?

Short answer: If it adds steps, repeats questions, or still ends in voicemail, it’s hurting.

Long answer: Run a real-world test. Call your business like a customer would and time how long it takes to get what you need. If the system makes you repeat information, fails in a noisy setting, or requires long verification before letting you speak, it’s creating friction. In Rogers’ story, the AI insisted on a name multiple times, slowly repeated a phone number, and still led to voicemail. That’s not automation; that’s obstruction.

Where is AI actually helpful in customer interaction?

Short answer: When it supports humans and speeds up resolution, not when it replaces people.

Long answer: AI helps when it handles low-risk tasks like routing, collecting basic details quickly, summarizing context for agents, and assisting staff with suggested responses. It can also help with after-hours intake if it promises a timely callback from a real person. The litmus test is whether the customer reaches resolution faster with less effort. If the system can’t do that consistently, keep a human as the primary interface.

Should we remove AI from phone systems entirely?

Short answer: Not necessarily, but it should never become a wall between customers and a human.

Long answer: AI can work in phone systems when it routes quickly and provides an immediate option to reach a person. The failure mode is using AI as a gatekeeper that forces customers through scripts, repeats prompts, and still ends with voicemail. If your AI can’t understand real-world conditions and move the call forward fast, simplify the flow and put a receptionist or operator back at the front. Customers remember being helped, not being “processed.”

What is one immediate fix we can implement this week?

Short answer: Add a one-press option to talk to a person and enforce a two-minute resolution goal for top intents.

Long answer: Start by giving customers an escape hatch: “Press 0 to speak to a person.” Then identify the five most common reasons people call and make sure each can be resolved quickly without repeated data entry. Rogers’ story illustrates why this matters: the AI slowed everything down and still didn’t deliver a human solution. Simplify, shorten, and prioritize direct help. If a system can’t reduce friction, it’s the wrong tool for that moment.


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FORMAL
a person who takes part in a dialogue or conversation.