01
Architecture review for model, API, data, and deployment paths.
AI production readinessfor production
For teams with an AI prototype that now has to survive production traffic, security review, and buyer scrutiny.
Direct answer
What does AI production readiness include?
AI production readiness covers the controls between a working model demo and a service a team can operate. The work usually includes cloud architecture, secrets handling, access controls, logging, release paths, rollback, cost guardrails, and the evidence packet a buyer, auditor, or CISO will ask for.
What I usually look at
Best fit when a prototype works, but the team needs to make the production path legible before an audit, procurement review, or enterprise buyer review.
02
Security control mapping for identity, secrets, logging, and data movement.
03
Release and rollback guidance for teams shipping under deadline pressure.
04
Evidence notes written so technical and non-technical reviewers can follow the system.
Related work
Related work includes AI contractor delivery assessment, cloud stabilization, and audit-ready AWS landing-zone engagements. See selected work for anonymised examples.
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