Tanla’s Wisely Ai: AI-Powered Telco Shield’s Impact on Spam and Scam Threat (B)

The Tanla Indosat case series examines how two firms — Tanla Platforms, an Indian communications infrastructure provider, and Indosat Ooredoo Hutchison (IOH), Indonesia’s second-largest telecommunications operator — intervened in a national coordination failure. Indonesia’s digital fraud epidemic persisted not because detection technologies were unavailable, but because relevant information and enforcement authority were fragmented across telecom operators, banks, platforms, and regulators. The case is therefore not primarily about AI. It is about where in a system AI must sit to alter outcomes — and who captures value when solving an interdependent problem.Case B, set in February 2026, reveals outcomes that exceed expectations and forces a second-order strategic choice. Having demonstrated efficacy at national scale, Tanla must decide whether to replicate the model operator-by-operator, entrench itself as shared ecosystem infrastructure, deepen bilateral dependence with IOH, or build a trusted sender marketplace atop the detection layer. The teaching arc therefore moves from solving a coordination failure to confronting the architectural consequences of success.

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Publication Details

Journal
LBS Publishing
Published
2026-10-27
DOI
https://doi.org/10.58018/p83m-p4me
Primary Topic
Spam and Phishing Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Tanla’s Wisely Ai: AI-Powered Telco Shield’s Impact on Spam and Scam Threat (B)

Michael G. Jacobides, Shanni Elcock, M. Dalbert Ma
2 links
LBS Publishing
Spam and Phishing Detection
article

Tanla’s Wisely Ai: AI-Powered Telco Shield’s Impact on Spam and Scam Threat (B)

Michael G. Jacobides, Shanni Elcock, M. Dalbert Ma
article en

Abstract

The Tanla Indosat case series examines how two firms — Tanla Platforms, an Indian communications infrastructure provider, and Indosat Ooredoo Hutchison (IOH), Indonesia’s second-largest telecommunications operator — intervened in a national coordination failure. Indonesia’s digital fraud epidemic persisted not because detection technologies were unavailable, but because relevant information and enforcement authority were fragmented across telecom operators, banks, platforms, and regulators. The case is therefore not primarily about AI. It is about where in a system AI must sit to alter outcomes — and who captures value when solving an interdependent problem.Case B, set in February 2026, reveals outcomes that exceed expectations and forces a second-order strategic choice. Having demonstrated efficacy at national scale, Tanla must decide whether to replicate the model operator-by-operator, entrench itself as shared ecosystem infrastructure, deepen bilateral dependence with IOH, or build a trusted sender marketplace atop the detection layer. The teaching arc therefore moves from solving a coordination failure to confronting the architectural consequences of success.

LBS Publishing
London Business School (GB)
Peace, justice, and strong institutions, Industry, innovation and infrastructure
Openalex Percentile: Top 6%
Spam and Phishing Detection
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