TelecommunicationsGenerative AI

Orange France runs generative AI use cases on Azure OpenAI Service and GitHub Copilot, cutting fiber ticket analysis from 20 minutes to under 3

Orange France· FranceAzure OpenAI · GitHub Copilot

Orange France set up a dedicated generative AI program using Microsoft Azure OpenAI Service, with data hosted in Europe, and GitHub Copilot for 200 developers. More than forty use cases are in development and around ten have been implemented within business teams, including rewriting more than 30,000 customer FAQ answers, generating product sheets for Orange boutiques, a marketing research search engine, and synthesizing fiber after-sales intervention tickets, which reduces analysis time from 20 minutes to less than 3 minutes.

Overview

Orange France set up a dedicated generative AI program using Microsoft Azure OpenAI Service, with data hosted in Europe, and GitHub Copilot for 200 developers. More than forty use cases are in development and around ten have been implemented within business teams, including rewriting more than 30,000 customer FAQ answers, generating product sheets for Orange boutiques, a marketing research search engine, and synthesizing fiber after-sales intervention tickets, which reduces analysis time from 20 minutes to less than 3 minutes.

This entry has 14 published fields tied to exact passages in an immutable source capture.

Inspect the highlighted source

The challenge

Orange France wanted to apply generative AI to improve customer service and make employees' work easier across lines of business such as customer service, marketing, communications and network operations, while keeping data protection and digital sovereignty in view.

The solution

Orange France created a dedicated generative AI program with a multi-disciplinary team of technical, legal, security, ethics and business profiles, and chose Microsoft Azure OpenAI Service for its ease of use in a secure environment in Europe, with GitHub Copilot also part of the experiment. Use cases include a tool that rewrites online FAQ content in a warmer tone, product sheet generation for Orange boutiques, a search engine for marketing research that cites its sources, and synthesis of fiber after-sales intervention tickets for complex cases.

Generative AIConversational AI

Reported business value

The synthesis of fiber after-sales intervention tickets for complex cases lets teams reduce their analysis time from 20 minutes to less than 3 minutes. The FAQ rewriting tool lets teams adapt more than 30,000 questions and answers, with each new form completed in just a few minutes, and the marketing search engine provides summaries in seconds. About ten of more than forty use cases are implemented.

Sources

Open any source and check the claim yourself — that is the point of the register.

This record was researched and written with AI assistance, and its claims were checked against the sources above. (EU AI Act art. 50 transparency notice.)

Related entries

Other telecommunications entries in the register.

All entries
TelecommunicationsComputer VisionUnknown

AI serves QoS & operational efficiency

Orange France deployed AI-based tools across its network operations to improve quality of service and operational efficiency, including the Recovisu diagnostic tool that helps technicians correct errors during interventions, automated frequency declarations with the National Frequency Agency, AI-driven preventive maintenance for equipment such as antenna batteries, and an AI-evaluated citizen infrastructure-damage-reporting app. The NRJ5G app analyzed consumption data to prevent unnecessary mobile site electrical subscription upgrades, saving nearly 48 million.

92/100HighPrimary source
Orange France· FranceRecovisu · NRJ5G
TelecommunicationsAgentic AIPublic Cloud

Deutsche Telekom and Google Cloud Collaborate on MINDR Agentic AI for Autonomous Network Operations

Deutsche Telekom, in partnership with Google Cloud, announced MINDR (Multi-Agentic Intelligent Network Diagnostics & Remediation), a multi-agentic AI system built with Google Gemini models on Vertex AI and developed with Google Cloud's Autonomous Network Operations framework. MINDR correlates signals end-to-end across the RAN, transport, and core network domains to proactively identify service-impacting issues and support autonomous, explainable remediation, shifting operations from reactive troubleshooting to predictive automation. MINDR builds on Deutsche Telekom's RAN Guardian Agent, live in production in Germany since November 2025, which monitors network behavior during high-impact events and traffic surges. RAN Guardian autonomously triggered over 100 remediation actions at Christmas market events in its first month and reduced the time needed to manage major events from hours to around a minute (a more than 95% improvement). For 2026 it identified 237,000 events, including around 130 Carnival events each expected to draw over 10,000 participants, served by 611 mobile sites pre-checked for issues; only 5 sites experienced peak loads, which RAN Guardian optimized during the event. RAN Guardian is now scaling across Deutsche Telekom's European national companies, starting with the Czech Republic and Croatia. MINDR's first production releases are planned for later in 2026.

96/100HighPrimary source
Deutsche Telekom· GermanyGoogle Gemini · Google Vertex AI
TelecommunicationsGenerative AIPublic Cloud

Chunghwa Telecom Builds Multiple Generative AI Solutions with Amazon Bedrock

Chunghwa Telecom, one of Taiwan's largest integrated telecom providers, migrated its generative AI projects to Amazon Bedrock and built three applications: a software development lifecycle documentation assistant, an interactive virtual English teacher using Amazon Titan and Stable Diffusion XL, and a generative AI marketing assistant built on Amazon Personalize.

96/100HighPrimary source
Chunghwa Telecom· TaiwanAmazon Bedrock · Amazon Titan · Stable Diffusion XL +3
TelecommunicationsGenerative AIPublic Cloud

BT Group writes and maintains 2 million lines of code a year using Amazon Q Developer

BT Group, a UK telecommunications company, rolled out Amazon Q Developer to around 2,000 active developers for AI-assisted coding, chat-based troubleshooting, automated unit test generation, and code transformation from older to newer, more secure versions.

96/100HighPrimary source
BT GroupAmazon Q Developer

Was this helpful?

Your feedback helps us improve our use case database