Far EasTone Telecom (FET) is turning agentic AI into real operations impact
Far EasTone Telecom · Taiwan
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.
Overview
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.
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Inspect the highlighted sourceThe challenge
Telecom network operations face exploding event volumes, rising complexity, and persistent skills gaps, requiring operators to move from reactive management to autonomous, faster-responding operations.
The solution
Far EasTone Telecom (FET) 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. AI agents handle large-scale alarm correlation and root cause analysis in seconds.
Reported business value
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 support 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, allowing engineers to focus on higher value work.
Sources
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