AI is creating new opportunities to improve customer service, from automating routine requests to supporting employees in their daily tasks. However, to fully realize the value of technology, businesses need to choose human-AI collaboration models that align with their operational needs.
1. Why Is Human-AI Collaboration Important in Customer Service?
AI helps businesses reduce response times, handle large volumes of customer interactions, and minimize repetitive tasks. However, not every customer request can be resolved entirely through technology.
While AI excels at speed and information processing, humans remain essential in complex situations that require expertise and empathy.
Human-AI collaboration in customer service involves dividing responsibilities between technology and employees to optimize workflows, improve service quality, and deliver a seamless customer experience.
2. Four Human-AI Collaboration Models in Customer Service
Depending on business processes and the desired level of automation, companies can adopt four human-AI collaboration models.
2.1. Assistive AI – AI Supporting Employees
In this model, AI acts as an assistant, helping employees search for information, analyze data, and generate suggested responses. Employees continue to interact directly with customers and make the final decisions.
Example: When a customer asks about a service policy, AI quickly retrieves relevant documents and suggests information, enabling employees to provide accurate advice while saving time.
2.2. Human-in-the-Loop – Human Oversight of AI
AI automatically performs tasks according to established workflows, while employees review, approve, or intervene when necessary, particularly in cases involving risks or important decisions.
Example: AI receives refund requests and checks eligibility criteria, but unusual cases are referred to employees for review before approval.
2.3. Sequential Handoff – Transferring Requests from AI to Human Agents
AI receives and handles initial customer requests, then transfers more complex issues to human agents along with the interaction history, so customers do not need to repeat their information.
Example: A chatbot helps customers track their orders. When a complaint arises, the system transfers the conversation to a human agent for further assistance.
2.4. Multi-Step Process – Human-AI Collaboration Across Workflow Stages
AI and employees handle different stages of the same workflow, leveraging their respective strengths to improve processing efficiency.
Example: During complaint handling, AI receives and categorizes the request, an employee verifies the issue and determines a resolution, and AI then updates the status and notifies the customer.
3. Comparing the Four Human-AI Collaboration Models
Each model differs in the role of technology, the level of human involvement, and its potential applications.
Model | Role of AI | Role of Humans | Suitable Applications |
|---|---|---|---|
Assistive AI | Retrieves information, analyzes data, and provides suggestions | Directly handles requests and makes decisions | Customer consultation and operational support |
Human-in-the-Loop | Automatically performs tasks | Monitors, reviews, and approves | Transactions and processes requiring oversight |
Sequential Handoff | Receives and handles initial requests | Takes over complex issues | Chatbots, voicebots, and contact centers |
Multi-Step Process | Handles appropriate workflow stages | Manages stages requiring expertise | Complaint resolution and multi-stage processes |
4. Which Human-AI Collaboration Model Should Businesses Choose?
No single model fits every situation. Businesses should consider their operational requirements, the complexity of customer requests, and their ability to integrate data when selecting a human-AI collaboration approach.
For tasks involving information retrieval, Assistive AI can help employees work more efficiently. Sequential Handoff is suitable for businesses looking to automate initial customer interactions, while Human-in-the-Loop and Multi-Step Process support workflows that require oversight or coordination across multiple stages.
More importantly, businesses can combine several models within a single customer service system to optimize operational efficiency while maintaining service quality.
5. Viettel Customer Service – Combining Technology and Human Expertise to Enhance Customer Experience
With over 22 years of experience in customer service, a workforce of more than 4,000 employees, and a track record of serving over 120 million customers across more than 10 countries and territories, Viettel Customer Service (VCX) combines operational expertise with consulting and technology development to enhance customer experience.
Through its customer experience technology ecosystem, VCX helps businesses implement human-AI collaboration models tailored to their operational needs:
OmniX: An integrated omnichannel contact center platform that helps manage customer interactions and maintain information continuity across customer service channels.
CXBot: An AI Agent solution that automates the reception and handling of routine customer requests.
KnowX Hub: An AI-powered knowledge management platform that enables employees to quickly access relevant information to support customers.
InsightCI, QualityX, and vCOC: Solutions that support customer interaction analytics, quality evaluation, and operational monitoring.
By connecting technology, data, and human expertise, VCX aims to help businesses improve request resolution efficiency, optimize resources, and enhance customer experience.
6. Frequently Asked Questions
6.1. Can AI Completely Replace Human Customer Service Agents?
AI can automate many routine tasks, but human involvement remains essential in complex situations that require expertise, exception handling, or empathy.
6.2. Can Businesses Combine Multiple AI Models Within the Same System?
Yes. Businesses can use AI to assist employees, automatically handle initial requests, and transfer complex issues to human agents within the same customer service workflow.
Viettel Customer Service is a subsidiary of the Viettel Group, operating in the technology and customer service sector. The company provides a comprehensive ecosystem including services (Contact Center Outsourcing, BPO, Upsale, Customer Experience, Loyalty, Document Processing and Digitization, Warranty & Repair Services) and technology solutions (OmniX, CXBot, KnowX Hub, AI-DMS, vCOC, InsightCI, WorkforceX).
Contact Viettel Customer Service today for solutions tailored to your business!
Contact Information:
Hotline: 1800 9397 / Email: dvkh@viettel.com.vn
Website Viettel Customer Service / Facebook Viettel Customer Service / Zalo Viettel Customer Service
Address: 23rd floor, Vinacomin Building, 3rd Duong Dinh Nghe Street, Yen Hoa Ward, Hanoi.
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