# How Deutsche Telekom uses Rasa

**10K+**: “assisting 10K+ employees whenever they encounter IT and workplace-related issues”

As published on [rasa.com](https://rasa.com/customers/deutsche-telekom-ee). Captured by usedby on 2026-10-08.

- Company: [Deutsche Telekom](https://www.usedby.ai/companies/deutsche-telekom.md)
- Tool: [Rasa](https://www.usedby.ai/tools/rasa.md)
- Industry: [Telecommunications](https://www.usedby.ai/companies/industry/telecommunications.md)
- Teams: IT service desk

## What the story says

Deutsche Telekom uses Rasa CALM to run a bilingual German and English conversational AI agent for internal IT and workplace support. It handles routine employee inquiries, integrates with backend systems, and escalates complex cases to human agents.

Summary written by usedby from the source page, in English. The figures are those of Rasa and Deutsche Telekom, not ours.

> The agent resolved 50% of inquiries autonomously, reducing agent workloads by 30% and significantly lowering personnel costs.

- **50%**: “The agent resolved 50% of inquiries autonomously, reducing agent workloads by 30% and significantly lowering personnel costs.”

> Since the chatbot based on Rasa CALM can process around 50% of service desk inquiries independently, we reduced the need for human agents by approximately 30%. Thanks to the excellent backend integration capabilities of the Rasa solution, we quickly implemented the chatbot's self-service features.
>
> Roland Csibi, Service Hub Owner - User Support Service Hub

## What usedby checked

We compared the story with its live page on 2026-10-08.

- Checked: the figure 10K+ is printed word for word on the page, near the name of Deutsche Telekom.
- Checked: the passage quoted above is copied word for word from the page, near the name of Deutsche Telekom.
- Checked: Deutsche Telekom uses Rasa. Confirmed line. Latest check across sources: 2026-10-08.
- Not checked: the result itself. We quote it; we did not measure it.

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Source: https://www.usedby.ai/case-studies/deutsche-telekom-rasa · How we check: https://www.usedby.ai/methodology