May 7, 2025
With the soaring growth of generative artificial intelligence (GenAI), the role human operators play in customer service is set to change dramatically. According to Gartner, companies today face a strategic crossroads: prioritize operational efficiency or customer experience? This choice will determine the future of interactions between people and AI, as well as the training, responsibilities and skills required of human agents.
Gartner proposes a framework based on two key questions:
- What is the main goal of AI adoption? Reducing costs or improving the customer experience?
- Who will guide the interaction with the customer? The operator or the AI?
From the combination of these responses, four types of future agents emerge, each representative of a different human-machine balance.
The four "roles" of the Agent of the Future
- Efficiency Experts
Efficiency-focused agents supported by AI tools to speed up operations, reduce management time and automate repetitive tasks. Ideal for cost-saving-oriented companies. - Personalization Specialists
Highly empathetic and proactive agents capable of delivering personalized experiences through AI-generated insights. Perfect for brands that focus on customer loyalty. - Resolution Supervisors
Professionals who supervise AI-managed interactions. They intervene only when errors, exceptions, or escalations occur. They require technical and advanced monitoring skills. - Exceptional Interventionists
"Elite" agents called upon in complex or emotionally sensitive situations. They work symbiotically with AI but make a real difference in those moments when the human element is irreplaceable.
No role is "best" at all: each organization will have to find its own ideal combination, partly based on regulatory, technological and cultural factors. A utility company, for example, might train agents who combine operational efficiency with AI supervision.
Risks to be managed
Gartner points out that careless adoption of artificial intelligence could create obstacles especially on the human and organizational level. Key risks include:
- Demotivation of operators due to fear that AI will replace their role or reduce their value in the process.
- Transformation overload, caused by the frequent introduction of new technologies and operational changes, which can generate stress and resistance.
- Overdependence on AI, with the risk that agents will simply passively execute what the machine suggests, losing critical thinking and initiative.
- Privacy and security issues, related to inadequate handling of sensitive data and reliance on AI systems that are not fully controlled.
To address these risks, it is essential to accompany each stage of AI adoption with ongoing training, transparency about objectives, and direct involvement of operators, who must remain active players in customer service.
The role of Increso: technology and humanity in balance
The future of customer service agents will not only be defined by technology, but also by how well companies integrate AI into their organizational system. The balance between efficiency and humanity will be the real turning point. Leaders need to start preparing their teams for this change today, lest they find themselves not sufficiently aligned with digital transformation tomorrow.
In a context where AI is redefining roles in customer service, Increso chooses a clear and sustainable path: putting technology at the service of people, not the other way around. AI adoption is not seen as a replacement for the human agent, but as a powerful ally that can enhance operational capabilities, reduce costs, and improve service quality.
The platform developed by Increso is based on a key principle: human intervention remains irreplaceable, not only to handle the most complex or emotional cases, but especially to supervise and guide the action of artificial intelligence. It is this balance between intelligent automation and human control that makes it possible to offer truly effective, efficient and reliable customer service.
With Increso, the future of customer service is about advanced technology, yes, but always under the guidance of the most important intelligence: human intelligence.
FAQ – The Future of Human Operators in Customer Service
1. Will artificial intelligence replace customer service agents?
No. AI actually transforms the role of agents. It automates repetitive tasks and provides decision support, while people remain central to handling complex, emotional, and high-value relational cases.
2. What will be the new roles of operators in the AI era?
Different profiles will emerge based on corporate strategy: AI-supported operational efficiency experts, personalization specialists, automated interaction supervisors, and agents dedicated to critical or sensitive situations. Each organization will define its own human-machine balance.
3. How is the relationship between AI and human operators changing in customer service?
AI can guide or support interaction, but the operator retains strategic control. In advanced models, AI handles standard requests and provides real-time insights, while the agent intervenes where empathy, judgment, and responsibility are needed.
4. What are the risks of non-strategic AI adoption in customer service?
Staff demotivation, change overload, over-reliance on automated suggestions, and privacy and data security issues. Without training and governance, transformation can generate inefficiencies rather than value.
5. What skills will become essential for future operators?
Ability to supervise AI, critically evaluate generated suggestions, digital skills, advanced empathy, and complex case management. The role is evolving toward greater responsibility, not simple execution.
6. What is Increso's approach to integrating AI and human operators?
Increso adopts a human-in-the-loop model in which AI enhances efficiency and supports decisions, but always remains under human supervision. The technology is designed to enhance skills, motivation, and strategic control, creating a sustainable balance between intelligent automation and a focus on people.
