How nOps shipped FinOps agents 75% faster with Amazon Bedrock AgentCore
nOps cut FinOps agent delivery time 75% by migrating from LangChain to Amazon Bedrock AgentCore.
“We were attempting to build advanced AI capabilities on top of infrastructure that wasn't designed for analytics-driven agents, which made iteration slow, complex, and prone to inaccuracies.”
nOps, which manages $4B in cloud spend, migrated its Clara FinOps AI agent from a self-managed LangChain/LangGraph stack on Kubernetes to Amazon Bedrock AgentCore, citing 75% faster shipping and reduced operational overhead. The case study illustrates a broader trend of enterprise AI teams abandoning DIY orchestration layers in favor of managed agent runtimes. The signal for the newsletter is the growing real-world cost of custom orchestration stacks and the concrete productivity argument for purpose-built agent infrastructure.