What challenges did Ströer Content Group face before AI implementation?

Ströer wanted to develop a customer-centric AI assistant to increase reader engagement and facilitate knowledge transfer while meeting high standards for data quality, accuracy, security, and editorial tone. The technology also needed to automatically generate meaningful questions from an archive of more than 45,000 articles and optimize safety and trust through guardrails.

What was the impact of the AI solution?

Interaction rates and average time per user have increased since launch. The project has already paid off according to Ströer. Suggested interactions help manage the number of AI queries and reduce per-query costs.

Source

Ströer: AI assistant on t-online.de built on Amazon Bedrock

Use case typePlanning automationUpdated Jun 14, 2026

Ströer Content Group built an AI assistant for t-online.de that provides readers fast, secure access to advice content from more than 45,000 articles. The solution was developed with Slalom on Amazon Bedrock and integrates natural language, personalization, security, and feedback mechanisms. The assistant improves engagement and time on site while helping manage per-query costs and protecting editorial tone and trust.

Organization: Ströer Content Group
Industry: Tech & Comms
Location: Germany
Published: June 2026

Reported outcomes

Strategic outcomes

Customer experience & trustImproved reader engagement and user experienceCost efficiencyManaged per-query costs through guided interactionsInnovation & cultureStrengthened Ströer’s innovation leadership in AI-powered media

Primary read

Use case focus

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1Planning automation

Ströer wanted to develop a customer-centric AI assistant to increase reader engagement and facilitate knowledge transfer while meeting high standards for data quality, accuracy, security, and editorial tone.
The technology also needed to automatically generate meaningful questions from an archive of more than 45,000 articles and optimize safety and trust through guardrails.

Built the AI assistant on Amazon Bedrock using Ströer’s existing AWS infrastructure.
Included components for natural language processing, personalization, and security.
Added user feedback loops, preconfigured questions, recommendations per page, and a test-and-learn optimization approach.

Technologies

Amazon Bedrock

Interaction rates and average time per user have increased since launch.
The project has already paid off according to Ströer.
Suggested interactions help manage the number of AI queries and reduce per-query costs.

Implementation partners1

Slalom

Sources & evidence1

Groundedness: 5/5Type: Customer StoryPublished: Jun 14, 2026Publisher: SlalomEvidence: PartnerConfidence: High

Primary source

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Customer evidence