How nOps shipped FinOps agents 75% faster with Amazon Bedrock AgentCore
Machine Learning Blog
This article describes how nOps reimagined its FinOps analytics by transitioning to Amazon Bedrock AgentCore, achieving 75% faster development and significantly improved response quality.
- Replaced API-centric infrastructure with Amazon Bedrock AgentCore for managed agent runtime and orchestration
- Integrated Databricks Lakehouse Metric Views for governed semantic analytics layer instead of generic APIs
- Implemented single-agent Strands architecture with direct tool access to avoid multi-agent routing overhead
- Used Databricks Lakebase for durable application state and Amazon DynamoDB for async workflow tracking
- Achieved 81.7% correctness score (up 145%), reduced tool failure rate from 7.49% to 0.92%
- Reduced time-to-production from 10-12 months to 4 months with 4-6 production-ready agents on shared runtime
nOps transformed Clara from a layered AI assistant into a unified, agent-native analytics system that scales accurately without heavy operational overhead.
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