Outages once triggered 20-person war rooms. AI now isolates root causes in minutes, letting a single engineer resolve them.
Indonesia's leading telecommunications provider serves 159 million customers through a network of 271,000 base stations across the archipelago.
Complex incidents required up to 20 people to join resolution meetings, while engineers spent an hour per team manually sifting through logs...
“CELYNA has fundamentally changed our operational approach, allowing our teams to maintain superior service reliability while optimizing resources. Our customers benefit from faster incident resolution and more consistent service availability, and our engineering teams can focus on innovation rather than reactive troubleshooting. With AWS, this intelligent automation represents the future of how we deliver excellence to Indonesia's telecommunications market.”
Telkomsel's Incident response is part of this use case:
Mobile network and digital telecommunications provider in Indonesia.
Cloud computing platform and on-demand infrastructure services.
Related implementations across industries and use cases
A 5-person team spent months prepping thousands of episodes. Now, AI generates multilingual subtitles and posters, cutting work to days.
Teams spent days manually hunting logs across systems. Now, they use natural language to query data and resolve incidents in minutes.
Labor shortages and high turnover bottlenecked call centers. Now, staff use an AI assistant to accelerate responses and cut wait times.
Teams spent days manually hunting logs across systems. Now, they use natural language to query data and resolve incidents in minutes.
10,000 daily alerts forced manual triage, bottlenecking IT responses. An AI agent now consolidates signals, freeing engineers to scale.
Manual fine-tuning held back deployment. Automated optimization cut inference time 63% and agent routine work by over 50%.
Single-turn bots couldn't manage complex daily routines. Now, specialized AI agents break down and orchestrate multistep user schedules.
Endpoint blind spots exposed critical operations. Now, AI automatically investigates and summarizes alerts so analysts act faster.
IT reporting took 10 mins while shoppers waited. AI now captures tickets via voice or text, cutting resolution time from 2 hours to 30 mins.
Outages once triggered 20-person war rooms. AI now isolates root causes in minutes, letting a single engineer resolve them.
Indonesia's leading telecommunications provider serves 159 million customers through a network of 271,000 base stations across the archipelago.
Complex incidents required up to 20 people to join resolution meetings, while engineers spent an hour per team manually sifting through logs...
“CELYNA has fundamentally changed our operational approach, allowing our teams to maintain superior service reliability while optimizing resources. Our customers benefit from faster incident resolution and more consistent service availability, and our engineering teams can focus on innovation rather than reactive troubleshooting. With AWS, this intelligent automation represents the future of how we deliver excellence to Indonesia's telecommunications market.”
Telkomsel's Incident response is part of this use case:
Mobile network and digital telecommunications provider in Indonesia.
Cloud computing platform and on-demand infrastructure services.
Related implementations across industries and use cases
A 5-person team spent months prepping thousands of episodes. Now, AI generates multilingual subtitles and posters, cutting work to days.
Teams spent days manually hunting logs across systems. Now, they use natural language to query data and resolve incidents in minutes.
Labor shortages and high turnover bottlenecked call centers. Now, staff use an AI assistant to accelerate responses and cut wait times.
Teams spent days manually hunting logs across systems. Now, they use natural language to query data and resolve incidents in minutes.
10,000 daily alerts forced manual triage, bottlenecking IT responses. An AI agent now consolidates signals, freeing engineers to scale.
Manual fine-tuning held back deployment. Automated optimization cut inference time 63% and agent routine work by over 50%.
Single-turn bots couldn't manage complex daily routines. Now, specialized AI agents break down and orchestrate multistep user schedules.
Endpoint blind spots exposed critical operations. Now, AI automatically investigates and summarizes alerts so analysts act faster.
IT reporting took 10 mins while shoppers waited. AI now captures tickets via voice or text, cutting resolution time from 2 hours to 30 mins.