Customer Experience
|Dec 15th 2025
7 min
Can AI replace your customer support?
Can AI replace customer support, or should it work alongside people? A practical guide for leaders on what to consider before using AI in support.
Written by: Karl Evans
CEO
Customer support trust is often treated like an operational problem, something to optimise, automate, or keep under control so it does not distract too much from the parts of the business that feel more exciting or strategic.
That way of thinking is common, but it misses what support actually is.
Support is one of the few moments where a customer is directly talking to your company because something has not gone to plan. Something is broken, unclear, delayed, or simply not behaving the way they expected, and in those moments frustration is rarely far away. When that happens, your brand stops being what you say it is and becomes how you behave when someone needs you.
That is why support is never just an operational detail. It is a defining moment.
Trust is not built through marketing or positioning. It is built through behaviour, especially when things are not working as they should.
Research into customer experience consistently shows that trust grows when people feel listened to, understood, and taken seriously during moments of friction, not when everything is running smoothly. Presence matters more than perfection, and how a company shows up when expectations are not met plays a huge role in whether trust is strengthened or weakened. Read more in depth.
When leaders talk about support, the conversation often drifts towards numbers. Response times, ticket volumes, cost per interaction. Those metrics matter internally, but they are rarely what customers remember when they think back on an experience.
What customers remember is how they felt.
Did they feel rushed through a process that existed mainly to protect the company, or did they feel that someone had slowed down enough to genuinely understand what was happening on their side. That difference may sound subtle, but the impact is anything but. One builds trust over time, the other quietly erodes it.
There is a strong assumption that faster is always better, and while speed can absolutely help in some situations, it is often confused with care.
When something goes wrong, most people are not looking for an instant answer at any cost. What they want first is reassurance. They want to know that someone has taken the time to fully understand their situation before trying to fix it.
That might lead to a quick solution, but it might just as easily lead to a workaround, a temporary fix, or a clear explanation of what needs to happen next and why. All of those outcomes are acceptable if they are communicated calmly and clearly.
Feeling important comes before fixing anything, and when that order is reversed, trust is already being chipped away.
Few things damage trust faster than making it obvious that a support conversation is something to get through rather than something to handle properly.
Trying to sell an upgrade while a customer is dealing with a problem, rushing them off a call to move on to the next case, or treating their issue as an inconvenience rather than a responsibility all send the same message, even if it is never said out loud.
Customers feel that immediately.
They may not complain. They may even accept the solution. But they remember how it felt, and that feeling tends to stick to the brand long after the issue itself has been forgotten.
Trustpilot’s own work around brand trust highlights that customers judge companies far less on whether problems happen and far more on how those problems are handled when they do. Handling issues well is one of the strongest drivers of long-term trust. Read more.
As companies grow, support demand grows with them, and if that growth is not planned for properly, teams end up reacting instead of improving.
People get pulled away from other work just to keep up. The focus shifts to surviving the day rather than learning from what is coming in. Over time, this is where a negative spiral starts to take hold.
There is no space to look for patterns, no time to use the data being generated every day, and no capacity to fix the root causes that are driving demand in the first place. Support becomes permanently reactive, always busy, always behind.
Ironically, the very insights that could reduce future problems and costs never get used, simply because everyone is too focused on clearing the next queue.
Technology can help here, but only when it is used with care and intent.
Some customers want to solve things themselves with a bit of guidance. Some are happy to send an email and get a response later in the day. Others need to talk to a person immediately because the issue is urgent, stressful, or affecting their work.
What matters is that they have a choice.
Forcing people down a single path because it suits the organisation does not make them feel looked after. Giving them options does. Choice, in this context, is a quiet but powerful form of respect.
The strongest support operations understand that their job is not just to react well today, but to reduce problems tomorrow.
Every support interaction contains information about friction, confusion, missing knowledge, or broken flows. When that information feeds back into the product and the process, demand drops naturally over time, service improves, and costs follow.
Not because anyone pushed harder, but because things were fixed properly.
When support is done well, customers rarely talk about response times or tooling.
They say something much simpler.
“I was looked after.”
That feeling creates confidence. Confidence turns into trust. Trust protects your brand long after the issue itself is forgotten.
Customer support is not about fixing problems. It is about looking after people.