Enterprise-Grade Multi-Agent AI Platform for AWS Cost & Usage Report
Building a production-grade AI-powered FinOps platform with Amazon Bedrock
Business Description
Sherpa Agent is a cloud financial operations and automation SaaS company delivering an AI-powered FinOps platform that transforms AWS Cost and Usage Report (CUR) data into actionable insights and automated workflows. The platform leverages generative AI to enable enterprises to analyze complex billing data through natural language interactions, automate cost optimization recommendations, and implement financial governance controls—eliminating manual spreadsheet analysis and enabling real-time cost intelligence across AWS environments.
Client Challenges
Sherpa Agent faced the complex challenge of building a production-grade AI-powered FinOps platform capable of processing massive volumes of AWS Cost and Usage Report data while providing cost intelligence, automated optimization recommendations, and financial governance.
AI-Powered Analysis & Automation
Develop AI agents that understand natural language financial queries, generate accurate SQL, and provide context-aware optimization recommendations.
Financial Modeling & Forecasting
Support sophisticated cost allocation, model RI/SP commitment strategies, enable what-if analysis, and generate accurate cost forecasts.
Enterprise Governance & Compliance
Support multi-tenant architecture with complete data isolation and role-based access control.
Advanced RAG Knowledge System
Build domain-specific knowledge base with AWS pricing documentation and maintain freshness of pricing data and optimization best practices.
Partner Solution: AWS Bedrock as a Platform
HiveTek, an Advanced AWS Partner, architected a comprehensive serverless solution leveraging cutting-edge AWS services for AI and agent orchestration.
Foundation Model Platform
Amazon Bedrock served as the centralized AI platform with Claude 4.5 Sonnet selected as the primary agent for SQL generation, financial analysis, and multi-agent orchestration—delivering superior accuracy across both simple and complex financial queries with 95% SQL generation accuracy.
Managed RAG Infrastructure
Amazon Bedrock Knowledge Bases integrated with OpenSearch Serverless vector database storing 4 domain-specific collections (FinOps, Cost, Pricing, Optimization) using Amazon Titan Embeddings for semantic search across 1000+ AWS documentation pages.
Specialized FinOps AI Agents
Two specialized agents powered by Claude 4.5 Sonnet—the CUD Agent for multi-dimensional cost analysis and optimization recommendations, and the SQL Agent generating sophisticated queries from natural language with automatic optimization and schema awareness.
Content Safety & Guardrails
Amazon Bedrock Guardrails provided automated content filtering with custom policies for PII detection, hallucination prevention, and custom FinOps guardrails preventing destructive infrastructure recommendations and unauthorized budget modifications.
Results & Business Impact
Amazon Bedrock served as the essential foundation, delivering enterprise-grade security, operational efficiency, and rapid innovation:
Elimination of model training infrastructure through managed AI services.
Managed AI services and serverless architecture dramatically reduced time-to-market.
Enterprise-grade security with built-in guardrails and complete tenant isolation.
Eliminated over-provisioning and infrastructure management overhead via pay-per-use pricing.
Multi-AZ deployment with automatic failover and auto-scaling capabilities.
Amazon Bedrock's combination of enterprise security, operational efficiency, performance at scale, and rapid innovation capabilities enabled Sherpa Agent's production-grade AI-powered FinOps solution.
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