Customer Service Automation · IT Operations Automation
Telefónica needed to simplify complex processes, reduce repetitive non-value-added work, unify data, accelerate decision-making, improve customer communications, and operate network and service functions more efficiently across markets.
Reported impact
Telefónica reports more agile workflows, faster and better-informed decisions, improved customer communications and personalization, lower network faults, scalable service automation, stronger operational efficiency, and a path to more autonomous networks.
Telefónica describes a group-wide, in-house AI automation program that combines artificial intelligence, big data, advanced analytics, and cloud foundations to streamline business and network operations. Internal operational, network, and customer-service data is centralized and unified in big data and cloud environments, where AI and analytics are used to generate insights, detect patterns, prioritize actions, and support faster decisions. The outputs are served into customer-facing workflows through virtual agents, chatbots, virtual assistants, and email automation that handle enquiries, analyze calls, generate responses, and send proactive service explanations in customer-friendly language. For network operations, Telefónica says its Autonomous Network Journey (ANJ), aligned with TM Forum, applies AI and network automation across hundreds of production use cases so networks can increasingly self-configure, self-optimize, and self-heal while supporting scalability, resilience, and faster service delivery.
Telefónica consolidates internal operational, network, and customer interaction data in big data and cloud environments, then applies artificial intelligence and advanced analytics to detect patterns, prioritize actions, and generate outputs. Those outputs feed customer-facing channels such as virtual agents, chatbots, virtual assistants, and automated email communications, while ANJ applies AI to network operations so the network can self-configure, self-optimize, and self-heal.
"AI enables us to automate enquiries, analyse calls, generate responses and offer personalised recommendations more quickly and accurately."
"AI is transforming process automation at Telefónica by eliminating repetitive tasks, unifying data and accelerating decision-making"
"In Germany, faults have been reduced by 30% through the use of AI on the network; in Brazil, we are working to handle 70% of calls via virtual agents"
"Telefonica has a strategic end-to-end transformation program based on AI and network automation, called the Autonomous Network Journey (ANJ)"
"Telefónica highlights the use of big data, advanced analytics and artificial intelligence to generate insights"
"Telefónica is implementing enhanced customer service through chatbots, virtual assistants and email automation"
"With more than 400 use cases in production—12 of which are at Level 4—the Group is moving toward networks capable of self-configuring, self-optimizing, and self-healing"
Review how this reference was scored and trace each normalized claim back to its documented source.
Scoring methodology
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Traceability
Field coverage shows which facts each source supports. Dates are shown only when documented by the source.
Related
In-house Sample Nov 13, 2025 AT&T AT&T needed a way for teams to automate time-consuming customer service and network-operations tasks across multiple internal systems while keeping humans in control and maintaining privacy, security, and faster… Ask AT&T Workflows · Ask Data · Ask Docs 
ServiceNow Sample Modified · Jul 30, 2026 Arqiva Arqiva needed to replace fragmented customer service and field operations workflows with a single platform that could coordinate customer journeys, schedule the right engineer faster, and give customers and staff one… 130% productivity improvement in Field Service Management CMDB · Customer Service Management · Field Service Management In-house Sample Jan 21, 2026 Groupe BPCE Groupe BPCE wanted to transform banking operations and customer experience at scale, improving back-office productivity, frontline advisor support, mobile customer interactions, contact center automation, fraud… 1 million calls out of the 12 million received each year are handled from start to finish by an AI voice agent AI assistant · AI voice agent · Gen AI 