AIP Use Case: AWS Solutions Architect AI Agent
AWS Solutions Architect AI Agent brings conversational design assistance to cloud solutioning. Architects and developers can describe requirements—scalability targets, data residency, RPO/RTO, compliance needs, latency constraints—and receive recommended AWS architectures with trade-offs, diagrams, and cost estimates. The agent cross-checks against AWS Well-Architected best practices and service limits, highlighting risks and optimizations.
Built on QueryPie AI’s AI Platform (AIP) with Model Context Protocol (MCP) integrations, the agent connects to AWS pricing APIs, Trusted Advisor/Compute Optimizer, CloudWatch metrics, and IaC repositories (Terraform/CloudFormation). It can generate architecture diagrams, IaC templates, and change proposals; validate designs against organizational guardrails; and route reviews for approval with full audit trails.
Key capabilities include:
- Requirement-to-architecture proposals
- Translate business and technical constraints into reference architectures and deployment options
- Cost modeling and optimization
- Estimate monthly costs, compare service choices, and suggest rightsizing and savings plans
- Best-practice validation
- Check designs against Well-Architected pillars and org-specific guardrails; flag anti-patterns
- IaC and diagram generation
- Produce Terraform/CloudFormation snippets and system diagrams for rapid iteration
- Review workflow
- Package design docs, collect feedback, and submit for approvals; track decisions and changes
This use case accelerates cloud design cycles, reduces errors, and standardizes solution quality. Teams gain faster path-to-architecture with transparent trade-offs and governance, while platform and security teams retain oversight through QueryPie AIP’s policy enforcement and auditable execution.