Strengthen customer relations in telecom with an AI agent
In a sector where service quality is a key differentiator, the AI agent enables telecom operators to respond faster, streamline customer journeys, and refocus teams on what matters most.
Simpler, more engaging customer relations in telecom with an AI agent
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It provides immediate responses across all channels
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The AI agent tailors its responses in real time based on the customer's profile
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No matter which channel is used, it ensures a seamless customer experience
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By handling repetitive requests, it increases team availability
Simpler, and more available customer relations in telecom with an AI agent
Telecom operators must respond quickly to customer requests while maintaining high-quality service, all without overloading their advisors. To achieve this, the AI agent (next-generation AI chatbot) provides valuable daily support:
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It automatically handles common inquiries such as data usage, plan changes, connectivity issues, service activation, or billing questions
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It remains available 24/7, even during peak demand or network incidents
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It centralizes interactions across all channels: phone, app, chatbot, and messaging, for a smoother journey without repetition or disruption
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It helps manage emergencies by automatically detecting critical cases and instantly forwarding the right information to technical teams or relevant departments
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It frees up advisors to focus on more sensitive, complex, or high-value cases
Integrations that fit every use case
Faster and more personalized responses than a chatbot for your telecommunications customers
Ease channel overload without compromising service quality tanks to AI
Telecom operators today face a dual challenge: delivering instant answers to common requests (plan details, option changes, outage reports) while maintaining team efficiency. This constant pressure on contact centers is amplified by the growing number of entry points: phone, mobile app, email, instant messaging. To address this effectively, AI agents (next-generation AI chatbots) offer a practical and easy-to-deploy solution. Once integrated across communication channels, they handle routine requests: chatbots or conversational AI agents respond directly via websites and apps, visual IVRs guide calls toward appropriate digital options, and mailbots sort and process incoming emails automatically. By making answers instantly accessible, this self-care approach empowers customers to act independently while easing the workload for teams, allowing them to focus on more complex or sensitive cases.
The result: a smoother digital customer experience, improved working conditions for agents, and greater capacity to manage urgent or high-stakes requests.
Support your telecom teams daily with AI
In telecom contact centers, a large share of resources is devoted to handling recurring requests, such as plan consultations, first-level technical support, or option changes. To improve service quality without increasing headcount, AI agents offer concrete support in managing these routine interactions more efficiently. AI conversational agents are deployed across channels (voice, digital) to instantly respond to simple customer inquiries. At the same time, mailbots automate email handling by reading, sorting, and routing emails to the appropriate teams, without manual intervention. For higher-value cases, advisors are supported in real time by Augmented advisor agents, which provide contextual insights, personalized suggestions, and ready-to-use answers during conversations.
The result: improved reachability, significant time savings for teams, and a smoother customer experience focused on high-value interactions.
Enhance the quality of your customer interactions with a reliable AI
The reliability of AI-generated responses plays a critical role in the quality of customer relations. Whether it’s a technical issue, a plan change, or a simple inquiry, it’s essential to provide customers with clear, accurate, and compliant answers. To achieve this, service providers rely on advanced AI models such as "LLM as a judge" systems, which continuously review and assess AI responses to identify and correct possible inconsistencies. In parallel, AI agents (new-generation chatbots) are designed to meet the strict requirements of the GDPR, ensuring the secure and responsible handling of users’ personal data. This dual focus on response quality and regulatory compliance helps build a customer relationship that is both reliable and transparent.
The result: a stronger, smoother, and more secure digital customer experience, where AI ensures consistency, compliance, and continuous availability of information.
A connected AI agent to streamline the customer experience in telecoms
In a sector where instant responsiveness has become the norm, telecom operators must handle routine customer requests efficiently while easing the workload of their teams. To achieve this, they can rely on an AI agent that operates on two levels. Autonomously, it manages simple customer requests such as usage tracking, option changes, or technical information queries. Connected to internal systems (CRM, network tools, customer portals) and equipped with advanced natural language understanding (NLU) and real-time data access capabilities (RAG), it delivers fast, accurate, and consistent responses. When human intervention is needed, the advisor is supported by the Augmented advisor agent, which instantly provides key customer file details, relevant network data, and contextual recommendations for a fast, accurate, and tailored response.
The result: a smooth and effective self-care experience for users, and teams focused on high-value interactions.
Discover our solutions for the telecom sector
Tangible impact on service quality and internal operations
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Satisfaction
90% Satisfied or very satisfied users with the automated journeys
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Reachability
+30Pts Improvement in the rate of calls handled (via phone or digital) out of the total incoming calls
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Calls avoided
15% Rate of calls avoided through redirection to a digital journey
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Productivity
+20% Reduced processing times thanks to automation
Use Case – Orange Business
As part of its ongoing effort to enhance the customer experience, Orange Business aimed to make its services more accessible and efficient. Frequently contacted via phone for everyday inquiries, the operator implemented DialOnce’s visual IVR to reinvent the first point of contact with its customers. From the moment a call is placed, users are redirected to a clear interface connected to internal systems, allowing them to access the right information or complete the right action in just a few clicks. This setup promotes customer autonomy while relieving pressure on phone lines, enabling advisors to focus on more specific or sensitive cases.
Our customers say it best!
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Our after-sales service is subject to occasional call peaks, and the Visual IVR is an alternative solution that enables our customers to file or consult their incident independently, despite the unavailability of call centers.
Philippe Cappelle
Director of Support and Advisory Services
Lay the foundation for a seamless customer relationship from the very first contact with DialOnce
For over 10 years, DialOnce has been supporting telecom operators in optimizing customer relations :
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Optimize every touchpoint with AI agents
Thanks to natural language understanding, they detect the needs behind every customer message and respond instantly. Connected to internal systems, they handle frequent inquiries autonomously, ensuring fast resolution while preserving advisor availability for more complex requests.
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Smarter, smoother interactions for every customer
By analyzing the context, the channel, the user's history, and real-time data, the AI agent precisely adjusts its responses. It guides each telecom customer in a more personalized and efficient way, while simplifying the role of support teams, who step in only where their added value is essential and their expertise truly makes a difference.
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An AI solution integrated with your telecom systems
By interfacing with your existing systems (CRM, monitoring tools, service management...), AI agents act as a natural extension of your processes and go far beyond a chatbot. They optimize request handling without changing your tools, while making coordination between teams and channels more seamless.