This assessment is designed for AI-powered products with multiple features, an MVP preparing for real customers, or systems you've inherited and need to validate before scaling.

I review the product end to end and deliver a detailed written assessment plus a 30-minute walkthrough call. The assessment covers:

Failure Modes — How the system could break under real traffic, unexpected inputs, edge cases, and scenarios the original demo may not have covered.

Cost & Scalability — Estimated per-call and monthly AI costs based on your expected usage, including where unnecessary spend may be coming from.

Data & Security — Potential exposure points, data-handling gaps, missing logging, and issues that could surface during a security review.

Compliance Readiness — For healthcare, finance, insurance, or other regulated environments, an assessment of whether the architecture supports requirements such as HIPAA, SOC 2, or KYC, and what gaps need attention.

Prioritized Roadmap — Findings organized by risk, impact, and implementation effort, so you know what needs attention now versus what can wait.

You'll receive the written report first, followed by a 30-minute review call where we walk through the findings, answer questions, and define the next step — whether your team handles the fixes or you bring me in to implement them.

This is a diagnostic assessment, not a development engagement. No fixes are implemented as part of the assessment. Instead, you'll get a clear picture of what's wrong, why it matters, and what to address first.

Architecture overview or product walkthrough

Read-only access to relevant code or systems

Approximate expected user/traffic volume

General data-sensitivity context, such as health records, financial information, or payment data