UOL
Security incident response
Teams spent days manually hunting logs across systems. Now, they use natural language to query data and resolve incidents in minutes.
- 80% faster incident resolution
- 50% reduction in false positives
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.”
Mobile network and digital telecommunications provider in Indonesia.
Cloud computing platform and on-demand infrastructure services.
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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.
Manual fine-tuning held back deployment. Automated optimization cut inference time 63% and agent routine work by over 50%.
Teams spent days manually hunting logs across systems. Now, they use natural language to query data and resolve incidents in minutes.
Manual processes bottlenecked 3 billion daily events. AI now automates threat response, cutting resolution from months to minutes.
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.
Agents sifted through notes on 1M annual tickets. AI now drafts resolutions and summaries, saving 160,000 hours of work per year.
12,000 employees overwhelmed 20 IT agents. AI now resolves routine tickets, cutting calls 30% to support 2x scale without new hires.
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.”
Mobile network and digital telecommunications provider in Indonesia.
Cloud computing platform and on-demand infrastructure services.
Related implementations across industries and use cases
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.
Manual fine-tuning held back deployment. Automated optimization cut inference time 63% and agent routine work by over 50%.
Teams spent days manually hunting logs across systems. Now, they use natural language to query data and resolve incidents in minutes.
Manual processes bottlenecked 3 billion daily events. AI now automates threat response, cutting resolution from months to minutes.
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.
Agents sifted through notes on 1M annual tickets. AI now drafts resolutions and summaries, saving 160,000 hours of work per year.
12,000 employees overwhelmed 20 IT agents. AI now resolves routine tickets, cutting calls 30% to support 2x scale without new hires.