Telkom Indonesia: A Case Study In Telco Automation, Ai, And An Telkom Tackles The Challenge Of Serving Customers Scattered Across 6,000+ Islands And Dozens Of Legacy Silos With Minimal Human Intervention
Description
This profile addresses the role of automation, autonomous networks (AN), and AI/GenAI in Telkom Indonesia’s telco operations. The goal is to answer how deployment of these technologies can cut costs and create new revenues, and identify which telcos are achieving tangible margin gains from their investments.
MTN Consulting rates Telkom Indonesia as a 3.5 out of 5 in the maturity of its efforts around automation, AI and AN. We are tough graders, so this is an accomplishment. The company is clearly a strong regional leader, and it has overcome a challenging geographic market and low ARPUs to consistently record one of the highest profit margins in the industry. Telkom has transitioned from a fragmented tools-based approach to a use-case-driven strategy. This approach prioritizes high-impact operational domains, such as GenAI for incident management and enhanced customer search. Telkomsel and Telin continue to drive execution in the mobile and international sectors, respectively. The parent company’s challenges include uneven progress across many subsidiaries, and a need to mature internal AI engineering capabilities.
MTN Consulting rates Telkom Indonesia as a 3.5 out of 5 in the maturity of its efforts around automation, AI and AN. We are tough graders, so this is an accomplishment. The company is clearly a strong regional leader, and it has overcome a challenging geographic market and low ARPUs to consistently record one of the highest profit margins in the industry. Telkom has transitioned from a fragmented tools-based approach to a use-case-driven strategy. This approach prioritizes high-impact operational domains, such as GenAI for incident management and enhanced customer search. Telkomsel and Telin continue to drive execution in the mobile and international sectors, respectively. The parent company’s challenges include uneven progress across many subsidiaries, and a need to mature internal AI engineering capabilities.
Table of Contents
10 Pages
- Summary
- Growth, profitability and strategy at Telkom Indonesia
- Who is Telkom
- Telkom’s strategic plan – TLKM30
- Automation, AI and Autonomous Networks at Telkom
- Executive quotes
- Automation
- Artificial intelligence (AI & GenAI)
- Autonomous Networks
- Outlook for Telkom
- Appendix
Pricing
Currency Rates
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