How AutoScout24 built a Bot Factory to standardize AI agent development with Amazon Bedrock

How AutoScout24 built a Bot Factory to standardize AI agent development with Amazon Bedrock

How AutoScout24 built a Bot Factory to standardize AI agent development with Amazon Bedrock

https://aws.amazon.com/blogs/machine-learning/how-autoscout24-built-a-bot-factory-to-standardize-ai-agent-development-with-amazon-bedrock/

Publish Date: 2026-01-14 16:24:00

Source Domain: aws.amazon.com

  • AutoScout24, a leading European automotive marketplace, aimed to utilize AI to enhance operational efficiency across the organization.
  • Their vision includes developing a “Bot Factory,” a standardized framework for creating and deploying AI agents.
  • The journey started with fragmented experiments across different teams and the realization to develop a unified strategy for AI innovation.
  • The team focused on creating an automated support bot to handle repetitive internal tasks, reducing the AI Platform Engineering team’s time spent on support-related activities.
  • The architecture leverages a series of AWS services including Amazon Bedrock, Amazon SQS, Amazon API Gateway, and Amazon Lambda, to ensure efficient, resilient, and secure AI agent operations.
  • The Bot Factory architecture is event-driven, serverless, and modular, enabling rapid development and deployment of scalable agents.
  • The solution abstracts away infrastructure complexities, allowing developers to focus more on business logic and less on underlying operational concerns.
  • Key benefits include enhanced team productivity, accelerated innovation, and reduced overhead in AI task management.
  • The Bot Factory project has resulted in a validated pattern that serves as a foundation for future enterprise AI development at AutoScout24.