How much does a software architecture review cost?

Cost scales with scope, documentation quality, access complexity, and how many quality attributes you score. A focused review of one subsystem or one quality attribute with reasonable docs is the least expensive; a whole-system review of a large legacy codebase with thin documentation costs more because the evidence has to be reconstructed through interviews and code analysis. We give a scope-based range up front and name the factors that would push it toward the high end.

How long does an architecture review take?

A focused review scoped to a subsystem or a single quality attribute, with reasonable documentation and quick read-only access, can land in a few days. A sprawling legacy system with thin docs typically takes several weeks because it needs engineer interviews to recover intent, static and runtime code analysis, and often a vertical-slice proof before any recommendation is trusted.

What do I actually get back from the review?

C4 context and container diagrams, a data-flow map, a deployment map, a severity-rated findings report where each finding names a quality attribute and a system consequence, and a remediation plan sequenced by system impact and effort. The diagrams are reusable as onboarding and incident references, and the plan reads as an ordered backlog you could start immediately.

Do you need production access or credentials to do the review?

No. The first pass runs on redacted diagrams, dependency manifests, infrastructure-as-code, read-only repository access, sanitized logs, and interview notes. Security findings are reasoned from the architecture and artifacts rather than by handling live secrets. If a specific finding needs deeper access, we scope it narrowly with written handling rules and a rollback owner before anyone touches it.

What makes a Closeaim review different from a standard assessment?

We do not stop at the report. The fix is scoped and shipped under the same ownership through your release gates, so high-severity findings actually close instead of becoming a forgotten backlog. Before you commit a full-build budget to the biggest recommendation, we prove the riskiest architectural decision with a vertical slice, a thin end-to-end path with real data and deployment, so you approve against a working result, not an estimate.

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