Auditing AI-generated code focuses on the specific failure modes AI tools leave behind: missing permission checks, invented or copied logic, absent tests, and unvetted dependencies. A standard audit assumes a human wrote the code with intent, while AI code often looks correct and works in the demo yet hides gaps underneath.

Our technical due diligence consulting for AI-built products checks the code against how it was actually generated, rather than how a human would have written it. We focus most on the places AI tends to cut corners.

The result is an honest line between what genuinely works and what only appears to, so you ship on evidence rather than a confident-looking demo. That gap surprises most teams in production.

A code audit typically costs from about $5,000 for a focused review to $25,000 or more for a full due-diligence engagement, and most deliver in one to three weeks. Price and timeline scale with codebase size, the depth you need, and how fast you need the answer.

A single-app security review is quick and inexpensive; a full software due diligence review across several repositories for a deal takes longer. We scope it to your deadline and budget on the scoping call.

You get a fixed price and a delivery date before we start, so there are no surprises. Most clients have a report in hand within days of granting access. For a fast deal, we can prioritize the highest-risk areas first and follow with the full report.