- Known and prioritized risks
- Lower failure uncertainty
- Usable observability
- A credible production path
Production Hardening
Review and repair the missing layers between a convincing demo and a system that can handle users, failures, cost, and operational scrutiny.
Built for a real decision or delivery constraint.
Founders and delivery teams with a working AI feature that is unreliable, expensive, exposed, or impossible to debug.
- Prompt and tool injection
- Network and credential boundaries
- Timeouts, retries, and fallbacks
- Cost and quality monitoring
- Technical audit
- Prioritized remediation
- Critical fixes
- Regression tests
- Production-readiness report
Scope is agreed before implementation. Material changes are estimated separately. Third-party infrastructure and model usage remain visible and are normally billed directly to the client.
No black-box demo. No indefinite discovery.
Every engagement begins with explicit acceptance criteria and ends with source, tests, deployment configuration, and operational documentation appropriate to the scope.
If the use case does not justify an AI system, the recommendation may be normal software, simpler automation, or no build at all.
Start the production hardening with a clear boundary.
The Architecture Review turns a use case, prototype, or delivery opportunity into a defensible implementation plan in five business days.