How Ring rolled out AI support across 10 regions and cut costs by 21%
Ring moved its global self-service support to Amazon Bedrock Knowledge Bases and dropped separate per-region infrastructure. The company filters content by `contentLocale` metadata, runs new knowledge base versions through evaluation every day, and pushes only the best-performing one to production. The result is a single bot serving 10 regions and a 21% reduction in the cost of launching each new market.
AI-processed from AWS Machine Learning Blog; edited by Hamidun News
Ring has brought AI to customer support by moving its global service system from a rule-based chatbot to a RAG system built on Amazon Bedrock Knowledge Bases.
How do you deploy AI to automate customer support?
Ring rebuilt its support on a RAG system running on Amazon Bedrock Knowledge Bases. Instead of hard-coded scripts, the system learns from a knowledge base and gives accurate answers even to unexpected questions.
By what percentage will costs fall when you introduce AI into support?
According to Ring's experience, the cost of scaling to each new market fell by 21% thanks to a centralized architecture replacing separate infrastructure for each region.
How much can you save by introducing AI into support?
According to Ring's experience, a centralized architecture on Amazon Bedrock cut the cost of scaling by 21% for each new market, compared with separate infrastructure for each region.
How do you deploy AI support across multiple regions?
Ring used a single centralized architecture on Amazon Bedrock Knowledge Bases instead of separate infrastructure for each market, which let it keep answers accurate for each region.
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Key Questions Answered
How do you deploy AI to automate customer support?
Ring rebuilt its support on a RAG system running on Amazon Bedrock Knowledge Bases. Instead of hard-coded scripts, the system learns from a knowledge base and gives accurate answers even to unexpected questions.
By what percentage will costs fall when you introduce AI into support?
According to Ring's experience, the cost of scaling to each new market fell by 21% thanks to a centralized architecture replacing separate infrastructure for each region.
How much can you save by introducing AI into support?
According to Ring's experience, a centralized architecture on Amazon Bedrock cut the cost of scaling by 21% for each new market, compared with separate infrastructure for each region.
How do you deploy AI support across multiple regions?
Ring used a single centralized architecture on Amazon Bedrock Knowledge Bases instead of separate infrastructure for each market, which let it keep answers accurate for each region.
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