Automated AWS Well-Architected Review with AI
Continuous Well-Architected Framework assessment across every workload: reliability, security, cost, performance, operational excellence, and sustainability.
Terraform
AWSThe problem today
The AWS Well-Architected Review is the gold standard, and also a two-day workshop you do once a year, with a consultant, across one workload. By the time the report is written the architecture has shifted. Most teams skip the review until an outage forces a retrospective, and even then they only look at the pillar that broke.
How AI agents solve it
The Architecture Reviewer continuously evaluates every workload against all six Well-Architected pillars: reliability, security, cost optimization, performance efficiency, operational excellence, and sustainability. Findings are ranked by pillar risk and ease of remediation. The Terraform Agent turns actionable findings into PRs, so 'enable multi-AZ on RDS' becomes a mergeable change, not a Jira ticket that rots.
Who this is for: Cloud architects and platform teams responsible for Well-Architected posture on AWS
Manual workflow vs. Architecture Reviewer
Manual workflow
- Annual 2-day workshop with a consultant, one workload at a time
- Report stale by the time it's written
- Only the broken pillar gets attention after an outage
- No pillar-score history, making it impossible to measure trend
- Actionable findings turn into Jira tickets and rot
With the Architecture Reviewer
- Every workload continuously scored across all six pillars
- Findings backed by live evidence, not year-old snapshots
- Actionable findings generate real fix PRs
- Pillar score trends visible over time per workload
- Well-Architected Tool export on demand for AWS cadence
How the Architecture Reviewer runs this
- 01
Architecture Reviewer inventories every workload across connected accounts
- 02
Evaluate each workload against the six Well-Architected pillars
- 03
Score each pillar with evidence-backed reasoning
- 04
Rank findings by risk and remediation cost
- 05
For actionable findings, generate Terraform fix PRs via the Terraform Agent
- 06
Track pillar scores over time as a workload health metric
- 07
Export Well-Architected Tool-compatible reports for AWS review cadence
Measurable impact
Turns annual WAR workshops into continuous architecture intelligence
Measurable pillar score improvement over time per workload
Actionable findings fixed by PRs, not ignored in Jira
Eliminates the 'stale report' problem inherent to manual reviews
Agents involved
Governed by the AI Gateway
Every agent action in this use case is audited, policy-checked, and cost-tracked
Structura's AI Gateway sits between every agent and the underlying LLM providers. Every decision made during this use case. Every plan review, every policy check, every fix PR, is routed through guardrails, logged to an immutable audit trail, and evaluated against NIST AI RMF and AIUC-1 controls.
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See this use case in a live demo
We'll walk you through exactly how the Architecture Reviewer handles this in a real environment with your stack, your policies, and your constraints.