What challenges did Siemens face before AI implementation?

Manual classification and summarization of tax-related social media communication in multiple languages were error-prone and inefficient. Limited labeled data made training traditional machine learning models difficult.

Source

MicrosoftExpandedEvidence: Low40/100

Siemens and Infosys Implement Generative AI for Social Communication Management

Use case typeAI platformUpdated Jun 13, 2026

Siemens partnered with Infosys to implement a generative AI solution to classify and summarize tax-related communication on Microsoft Viva Engage (formerly Yammer). The AI solution uses large language models (LLM) with in-context prompting workflows developed by Infosys GPT specialists. The system addresses challenges of multi-language communication classification and summarization in social posts with limited labeled data.

Organization: Siemens
Industry: Manufacturing
Location: Germany
Published: December 2024

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: Siemens
Provider: Microsoft
Maturity: Unknown
Linked source: Infosys

No explicit deployment-stage evidence found.

Customer identity supportedSource describes one deploymentMaturity evidence evaluated

Primary read

Use case focus

Showing 2 of 2

1Generative AI
2Large Language Models

Infosys developed an AI solution using large language models and in-context prompting workflows to classify and summarize conversations accurately.
The solution leverages Microsoft Viva Engage platform as the communication channel and integrates Infosys Topaz AI capabilities with GPT expertise.

Technologies

Microsoft Viva Engage Large Language Models LLM Microsoft AI

Demonstrates successful use of Microsoft AI technologies in manufacturing communication management.

Implementation partners1

Infosys

Sources & evidence1

Evidence: Low40/100Evidence strength