TelecommunicationsComputer Vision

AI serves QoS & operational efficiency

Orange France· FranceRecovisu · NRJ5G

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.

Overview

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.

This entry has 10 published fields tied to exact passages in an immutable source capture.

Inspect the highlighted source

The challenge

Orange France must manage aging legacy infrastructure that still performs well but requires specialized maintenance skills, while integrating complex new technologies and meeting growing customer demands for faster, more reliable service, all while maintaining high quality of service (QoS) and reducing operational costs.

The solution

Orange France deployed several AI-based use cases across network operations: the Recovisu diagnostic tool, which uses before-and-after repair photos to help technicians quickly correct errors during interventions; automated frequency declarations with the National Frequency Agency to shorten activation time; AI-driven preventive maintenance for equipment such as antenna batteries, planning interventions based on actual needs rather than a fixed schedule; an app allowing citizens to report infrastructure damage, with AI evaluating reports by severity; and the NRJ5G app, which analyzes consumption data to identify over-dimensioned mobile sites.

Computer VisionPredictive Analytics

Reported business value

The NRJ5G app prevented unnecessary upgrade costs for mobile site electrical subscriptions, saving nearly 48 million by identifying over-dimensioned sites for more efficient resource management.

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
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

TELUS builds its Fuel iX generative AI platform on Google Cloud

Canadian telecom TELUS built Fuel iX, a proprietary generative AI platform on Google Cloud, giving more than 57,000 team members secure access to 40+ AI models, including Anthropic's Claude and Google's Gemini via Vertex AI. Employees have created over 13,000 custom AI solutions and 47 large-scale gen AI products, driving more than $90 million in benefits and 500,000+ hours of time savings to date, and TELUS's engineering teams now ship code 30% faster. TELUS extended Fuel iX to power its customer-facing GenAI support tool, which became the first gen AI tool in the world internationally certified in Privacy by Design.

100/100HighPrimary source
TELUS· CanadaFuel iX · Vertex AI · Claude +1
TelecommunicationsAgentic AIUnknown

Far EasTone Telecom (FET) is turning agentic AI into real operations impact

Far EasTone Telecom (FET), a Taiwanese operator, applied Microsoft's network operations agent (NOA) reference architecture to redefine cloud-native network operations by embedding agentic AI across its network operations center (NOC) and change-management workflows. Nearly 60% of FET's NOC operations are now AI-assisted, with about 10,500 operational tasks executed per month, including incident summaries, automated ticket closure, network checks, and proactive voice notifications. AI agents handle large-scale alarm correlation and root cause analysis in seconds, supporting nearly 7,000 monthly operational queries with an average response time of 16 seconds, and most maintenance actions complete within one minute, significantly reducing human error and accelerating recovery times.

92/100HighPrimary source
Far EasTone Telecom· TaiwanMicrosoft network operations agent (NOA) reference architecture
TelecommunicationsPredictive AnalyticsPublic Cloud

Frontier Communications increases new logo sales 20% and cuts fiber pricing calculations from weeks to seconds with Databricks

Frontier Communications modernized its data foundation on the Databricks Data + AI Platform, unifying data in a secure lakehouse. Frontier's B2B sales team now uses AI-powered lead prioritization, driving a 20% increase in new logo sales; the wholesale business uses GenAI to analyze over 40,000 contracts for revenue opportunities; and fiber installation pricing calculations were reduced from weeks to seconds.

96/100HighPrimary source
Frontier CommunicationsDatabricks Data + AI Platform · Amazon Web Services (AWS)

Was this helpful?

Your feedback helps us improve our use case database