Telecom operators have long relied on automation and analytics to improve network performance and customer experience. However, a new era is dawning where artificial intelligence not only analyzes data but also makes intelligent decisions, adapts, and takes autonomous action.
In a recent episode of the Analytics Insight Podcast, host Priya Diyalani spoke with Samit Banerjee, Division President of Customer Business Services at Amdocs, about how agentic AI is revolutionizing telecom operations. The conversation explored autonomous networks, India’s AI advantages, enterprise opportunities, and the critical role of human oversight in AI-driven decisions.
What Sets Agentic AI Apart from Traditional Automation?
Banerjee explains that traditional automation is rule-based, following predefined instructions within strict limits. “Agentic AI brings intelligence to decision-making,” he says. “The AI agent can monitor the network, recognize anomalies, and make decisions automatically.” For example, telecom providers can dynamically allocate resources, create virtual network slices for enterprise clients, and maintain quality of service without human intervention.
India’s Unique Position in AI-Driven Telecom
India enjoys structural advantages few countries can match, according to Banerjee. The nation’s digital public infrastructure provides a robust foundation for identity verification and fraud prevention. With one of the highest volumes of mobile data globally, India offers vast datasets for training AI models. A strong fiber network, vibrant engineering community, and multilingual population enhance natural language processing technologies. Government initiatives like the IndiaAI Mission further unite public and private sectors to advance AI development.
New Enterprise Services Through Agentic AI
Telecom companies can evolve beyond conventional connectivity into strategic technology partners. By leveraging edge computing, they can run AI services close to end users, reducing latency in banking, manufacturing, healthcare, and smart city sectors. Telecom firms may offer environments where enterprises train AI models without transferring data remotely. AI solutions will also bolster cybersecurity by detecting threats before they penetrate enterprise networks. Intelligent networks can power applications like drones, surveillance, logistics management, and industrial robotics.
Striking the Right Balance Between Autonomy and Oversight
Banerjee emphasizes that not every decision should be fully autonomous. Routine operational decisions like traffic balancing and resource allocation can be handled by AI because they are repetitive and easily reversed. However, decisions involving major financial investments, public safety, or emergencies require human judgment. “The role of AI should be to provide suggestions and undertake automated operations, while human beings make critical decisions,” he states.
The Future of Telecom in an Agentic AI World
Emerging telecom networks will become autonomous digital ecosystems. Rather than mere bandwidth carriers, network providers will offer intelligent infrastructure that configures, heals, and optimizes itself in real time. Telecom companies will use AI for predictive maintenance, personalized customer experiences, and innovative enterprise offerings through edge intelligence. As these capabilities mature, telecom providers will act as facilitators of AI across healthcare, finance, manufacturing, logistics, and smart cities. Banerjee concludes, “The key issue is not about making AI replace humans.”
Listen to the full discussion on the Analytics Insight Podcast.
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