
When Delivering the Service Is Not Enough
7 August 2026
How Will AI Agents Shape Customer Experience During Its Most Human Moments?
Artificial intelligence understands your request, answers your questions, carries out actions on your behalf, and may even know what you need before you ask for it.
So, AI understands you!
It sounds like a logical conclusion, but it reduces the concept of human understanding to a collection of data, instructions, and outcomes.
Let us stop for a moment and ask:
What if, in that moment, a person does not only need their request to be completed, but also needs someone who understands how they feel?
We are currently experiencing a transitional phase in service design. Organizations are moving beyond traditional automation, which executes predefined steps, toward AI agents capable of understanding requests, making decisions, interacting with systems, and completing the entire customer journey with minimal human intervention.
This is certainly an important development.
Customers will receive faster and more accurate services, available around the clock. They will no longer need to repeatedly provide the same information or move between different employees and channels.
But are speed and efficiency always enough to create a good experience?
Not All Services Are the Same
In customer experience design, we typically approach journeys as a series of touchpoints between the customer and the organization, working to make them easier, faster, and clearer.
But sometimes, we may overlook the fact that certain journeys are more than just procedures.
They are deeply human moments accompanied by emotions such as fear, grief, hope, or anxiety.
Imagine someone who has just lost a family member and begins the process of registering the death.
They access a digital platform and are greeted by an AI agent. The agent verifies the information, connects the necessary documents, registers the event, and closes the request within minutes.
The procedure is complete.
The indicator is green.
The service delivery time is excellent.
But what about the person behind the request?
Or imagine a father trying to obtain urgent medical treatment for his child.
An AI agent responds that the request does not meet one of the eligibility requirements.
From a systems and data perspective, the decision may be correct.
But the person receiving that decision is not experiencing an administrative procedure at that moment.
He is experiencing genuine fear for his child.
Or imagine a student waiting for the result of their university application, only to receive an automated rejection message that ends the conversation with a predefined list of alternative options.
From the system’s perspective, the journey has been successfully completed.
From the person’s perspective, a difficult moment they may never forget has perhaps only just begun.
When the Metric Becomes More Important Than the Feeling
AI agents will drive a significant transformation in service efficiency.
They will reduce time, effort, cost, and operational errors.
The risk begins, however, when we assume that their ability to complete a procedure necessarily means they can deliver the experience.
Customer experience is not shaped solely by the outcome of an interaction.
It is also shaped by the emotions customers carry with them during and after receiving the service.
An organization may complete a service in three minutes while leaving the customer feeling like nothing more than a number.
Another service may take longer while leaving the customer feeling cared for, reassured, and respected.
This raises an important question:
Can we gain efficiency while losing the human element?
Can an AI Agent Empathize?
Let us simplify the idea.
Human empathy is not simply telling someone who is grieving:
“I understand what you’re going through.”
It means recognizing their emotional state, being affected by it, and responding in a way that takes their circumstances and feelings into consideration.
An AI agent can analyze words, tone of voice, conversational context, and perhaps even facial expressions, then select a response that appears empathetic.
In the future, it may even become better than some humans at detecting emotions and responding to them consistently.
It could notice hesitation in a customer’s voice, repeated questions, or words that indicate fear.
It could then slow the conversation down, use calmer language, provide a clearer explanation, simplify the steps, or escalate the case to a specialized employee.
This is an important form of functional empathy.
But the more difficult question remains:
Does it actually feel what the person is feeling, or has it simply become very good at simulating the appropriate response?
In some everyday services, that distinction may not matter.
If an AI agent helps you replace a card, update an address, or book an appointment with ease, you are unlikely to ask whether it genuinely feels happy that it completed your request.
But that distinction may become extremely important when dealing with death, illness, fear, loss, or life-changing decisions.
In these moments, people are not always looking only for empathetic words.
Sometimes, they are looking for a genuine human presence that understands the weight of what they are experiencing.
Artificial Empathy May Be Better Than No Empathy at All
We should also avoid idealizing human interaction as though it is always empathetic.
How many customers have gone through a difficult experience only to encounter an employee who was rushed, uninterested, or simply following a rigid script that failed to account for their circumstances?
Having a human at a touchpoint does not guarantee empathy.
A carefully designed AI agent may provide a kinder and more respectful experience than an exhausted or poorly trained employee.
It may remember the customer’s circumstances, avoid asking them to repeat their story, choose the appropriate time and language, and give them space to pause and return later.
So, the fair comparison is not between “an emotionless machine” and “an always-empathetic human.”
It is between experiences that differ in their ability to understand the human situation and respond appropriately.
An AI agent may not actually feel empathy, but it may still help deliver it more effectively than some of today’s experiences.
It Is Not About Humans vs. AI
The right question is not:
Should we hand the service over to a human or to artificial intelligence?
The real question is:
When can AI lead the entire journey, and when should there still be a meaningful place for a human within it?
An AI agent can collect data, verify documents, connect different entities, execute procedures, and update the status of a request.
But when it detects that the journey has reached a sensitive moment, the experience should change.
The customer could be given the option to speak with a person.
The case could automatically be transferred to a specialist.
Or the employee could receive a clear summary before taking over the conversation, ensuring that the customer does not have to explain their pain all over again.
In this case, technology does not replace the human.
It frees people from procedural work so they can be present at the moment when the customer genuinely needs them.
Moments That Deserve a Human
In the future, we may need a new way of classifying services.
One that is not based solely on transaction volume, procedural complexity, or operating cost, but also on the emotional sensitivity of the journey.
When designing each service, organizations could ask:
- What emotions is the customer likely to experience?
- Is the service associated with loss, illness, fear, or a life-changing decision?
- How might automated messages and decisions affect the customer’s emotional state?
- Can the customer pause the journey or request human assistance?
- At what point should the AI agent stop and bring in a human?
- Are we measuring only service speed, or are we also measuring whether the customer felt cared for, respected, and reassured?
Not every touchpoint requires an employee.
But some moments deserve a human.
Will AI Ever Match Humans?
AI agents may eventually become highly capable of reading emotions, simulating empathy, and responding accordingly.
Some customers may even feel more comfortable speaking with them because they do not judge, never become tired of listening, do not show frustration, and remain available whenever needed.
But the ability of technology to simulate empathy does not necessarily mean it has become a complete substitute for human empathy.
Perhaps the ultimate answer does not lie in proving whether an AI agent truly “feels.”
Instead, it may lie in designing an experience that protects people from feeling alone or ignored when they are at their most vulnerable.
In Summary
AI agents will make services faster and more efficient and may even become better at understanding customer behavior.
But their true success will not be measured by how many journeys they complete without human intervention.
It will be measured by an organization’s ability to recognize the moments in which the human should not disappear.
The best future for services is not a future without people.
It is a future where technology handles what it does best, while humans remain present when their presence is part of the service itself.
Knowledge Library Team
ODEL
Riyadh