Running production AI systems at scale (GoDaddy and AWS case study)(aws.amazon.com)
aws.amazon.com
Running production AI systems at scale (GoDaddy and AWS case study)
https://aws.amazon.com/partners/success/godaddy-agenticai/
https://aws.amazon.com/partners/success/godaddy-agenticai/
This AWS case study covers some of the work GoDaddy has been doing to operationalize AI workflows using AWS infrastructure.
One example highlighted is Lighthouse, a system built using Amazon Bedrock to analyze large volumes of customer support interactions and extract patterns that can improve customer experience and operational efficiency.
What’s interesting from a systems perspective isn’t just the model usage, but the broader shift toward treating AI as part of production infrastructure:
data pipelines that continuously feed models
orchestration layers around LLM workflows
recursive learning platforms that allow real-world signals to continuously improve systems
integration into existing operational systems
The biggest challenge for many organizations right now isn’t building models — it’s building reliable systems around them.
Curious how others here are approaching AI infrastructure vs experimentation.