Problem
Infrastructure teams operating VMware environments spend significant time on repetitive troubleshooting, manual queries, and script generation. These tasks are low-leverage but require deep contextual knowledge — a good candidate for AI-assisted operations, if done with the right controls.
Solution
A hybrid AI platform architecture that combines AWS Bedrock, VMware vSphere, and Microsoft Teams to enable AI-assisted infrastructure operations in a controlled, auditable way.
The design is organized around four layers:
- Collaboration entry point — Teams-based workflow for natural language requests
- Orchestration and control layer — PowerShell/Python script that enriches prompts, applies safety policies, and manages workflow state
- Model access layer — AWS Bedrock for reasoning, summarization, and PowerCLI script generation
- Controlled execution path — Human-approved execution against vCenter, ESXi, NSX, and Log Insight
Key governance controls:
- All generated scripts treated as proposals first — human approval required before execution
- Destructive commands challenged through a dedicated safety function
- Structured audit logs for prompts, responses, execution decisions, and errors
- Least-privilege IAM policies and scoped VMware service accounts
Architecture
This document is presented as an architecture blueprint rather than a completed production implementation. It demonstrates solution design, hybrid integration thinking, governance awareness, and phased delivery planning for enterprise AI-assisted infrastructure operations.
Result
A technically honest reference architecture for AI-assisted infrastructure ops — designed for a real enterprise validation environment, with an estimated 128-hour implementation scope for a controlled PoC.