Customer service and contact center operations within the telecom sector

Tue, 30 Jun 2026 16:36:36 +0300

Global losses from telecom fraud are projected to reach $41.82 billion in 2025, up from $38.95 billion in 2023 (according to the CFCA Global Fraud Loss Survey 2025). This trend is forcing telecom operators and large enterprise companies to radically rethink their service channel security. Traditional contact centers, which have relied on closed, monolithic BSS/OSS systems for years, face a difficult choice. Businesses demand efficiency and the immediate implementation of AI agents, intelligent voice assistants, and seamless omnichannel experiences. However, attempts to implement these tools often encounter critical vulnerabilities in VoIP traffic.

Telecom AI voicebots: balancing operational efficiency with user trust

Mon, 08 Jun 2026 06:07:47 +0300

In the telecommunications industry, the implementation of AI voicebots in contact centers has become essential for optimizing operational processes. The growth in 5G subscriptions and network expansion, as projected by the Ericsson Mobility Report November 2025, presents new opportunities for integrating AI solutions. Simultaneously, increasing global losses from telecom fraud, estimated by the CFCA Global Fraud Loss Survey 2025 at approximately $41.82 billion, highlights the need for enhanced security and authentication measures. This creates an architectural challenge where AI voicebots can boost efficiency, but their deployment demands a careful balance between automation and maintaining customer trust.

Evolution of contact center AI: from chatbots to voice-based assistants

Wed, 03 Jun 2026 09:28:30 +0300

Modern customer service is undergoing a fundamental transformation. What began as simple scripted chatbots capable of answering only basic questions has evolved into sophisticated artificial intelligence systems. Today’s AI assistants and Voice AI technologies are redefining customer support by delivering a new level of personalization, responsiveness, and operational efficiency.

A Shift in Architectural Paradigm

The implementation of modern artificial intelligence in contact centers is far more than automating individual processes. It represents a fundamental shift in architectural design. Modern AI solutions are deeply integrated into corporate information systems, CRM platforms, billing modules, and knowledge bases, becoming an essential part of business operations rather than a standalone add-on for a website or mobile application.

The 2026 landscape for AI-augmented FinOps and multi-cloud cost control

Fri, 22 May 2026 06:07:28 +0300

By 2026, over 80% of large enterprises utilizing multi-cloud infrastructures will integrate artificial intelligence into their FinOps strategies to optimize costs and enhance efficiency. This shift is driven by the increasing complexity of cloud environments, dynamic provider pricing models, and the necessity for automated analysis of vast amounts of resource consumption data.

Evolution of FinOps in multi-cloud environments

Traditional FinOps approaches, based on manual report analysis and static rules, are becoming ineffective in multi-cloud settings. The complexity lies not only in managing different pricing models across Azure, AWS, and GCP but also in tracking and forecasting costs for dynamic resources such as serverless functions, containers, and specialized AI/ML services. Companies face challenges with insufficient cost visibility, suboptimal resource utilization, and difficulties in allocating budgets across various business units.

Deployment of AI agents within enterprise environments

Wed, 22 Apr 2026 07:04:51 +0300

A typical scenario: the finance department of a large bank processes thousands of transactions every day, identifies potential anomalies, generates reports, and responds to customer inquiries. Each of these processes requires significant human effort, carries a risk of errors, and often delays important business decisions. This is where AI agents come into play — autonomous software entities capable of collecting information from digital environments, processing it, making decisions, and performing actions to achieve specific goals. They do not simply automate business processes; they make them more intelligent, allowing organizations to focus on strategic priorities.

Trends in AI and VoIP business communications for 2026

Mon, 20 Apr 2026 06:05:51 +0300

Traditional analog PBX systems increasingly fail to meet modern business requirements for scalability, flexibility, and integration with corporate applications. Their maintenance is costly, while their functionality is often limited. VoIP (Voice over Internet Protocol) fundamentally transforms business communications by converting voice calls into digital data transmitted over IP networks. This approach delivers a range of benefits that have become essential for modern organizations.

Cost reduction: lower international and long-distance calling expenses through the use of existing internet infrastructure.
Scalability: rapid addition or removal of users and expansion of functionality without significant capital investments.
Flexibility and mobility: access to corporate telephony from anywhere via IP phones, softphones, or mobile applications.
Integration: seamless connectivity with CRM, ERP, document management systems, and other business applications through APIs.

AI in Communications: A New Level of Interaction

Artificial Intelligence (AI) is transforming business communications far beyond traditional automation. Modern AI solutions can analyze large volumes of data, understand natural language, predict customer behavior, and personalize interactions. This not only improves operational efficiency but also enhances customer experience.

Ensuring AI Act compliance for telecom communication systems

Wed, 18 Mar 2026 09:03:45 +0200

In 2026, telecom operators face a dual challenge: the rapid development of AI communications and the need to adapt to new regulatory requirements, particularly the European AI Act. The urgency of this year is driven by the active implementation of the Act's provisions, which establish strict requirements for the transparency, security, and reliability of artificial intelligence systems. This demands that operators not only achieve technical readiness but also rethink their approaches to data management and cybersecurity. Ensuring compliance with the AI Act in 2026–2027 is becoming mandatory to avoid fines and preserve customer trust.

The AI Act and communication evolution: VoIP and contact center implications

Mon, 02 Mar 2026 14:46:23 +0200

National telecom operators face a challenge: the data required to launch AI projects turns out to be fragmented, inconsistent, incomplete, and lacks unified directories. Attempting to train AI models on such data yields poor results, making it impossible to implement intelligent systems to improve customer service efficiency or optimize the network.

Reason: Architectural Chaos and Lack of Data Governance

This problem arises from the historically formed OSS/BSS ecosystem, which for large telecom operators can consist of 15–25 systems of different generations. Each system (CRM, billing, network management systems, customer support systems) was created to solve its own narrow task, often without considering the need for a unified customer profile or shared directories. As a result, the exact same customer might have multiple records with different addresses, contact details, or even names, while data about services and tariffs are stored in disparate billing systems. This leads to a situation where the Customer 360 concept (a unified, comprehensive view of the customer) does not work, and the time-to-market for new tariff plans is limited by the need for manual data reconciliation between legacy systems.

2026 IT industry outlook: The move to integrated digital ecosystems

Fri, 06 Feb 2026 16:39:41 +0200

The global IT industry is entering a new phase where the key competitive advantage is no longer individual technologies, but the ability to integrate them into a unified, manageable ecosystem. In March–April 2026, this trend has fully solidified: businesses are moving from isolated digitalization efforts to comprehensive transformation of processes, infrastructure, and data management.

The main driver behind this shift is the convergence of artificial intelligence, hybrid infrastructure, and platform-based solutions. While these areas were previously implemented separately, today organizations expect a cohesive environment that ensures continuity, scalability, and full operational control.

Voip-En — TechCom