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  • AI-Built Tool Audits

You moved fast. Let's make sure it holds.

AI tools make it easy to spin up something that works — for now. We audit what’s underneath: data integrity, scalability, security, and whether the logic will survive next quarter’s growth. Then we fix what needs fixing, or rebuild what doesn’t.
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What the audit covers

Data integrity

Is the data model sound, or one bad import away from corruption?

Security

Exposed keys, missing permissions, and access no one meant to grant.

Scalability

Will it survive 10× the users, rows, and edge cases it has today?

Logic & maintainability

Can a human follow the logic well enough to safely change it later?

How an audit works

01

Walkthrough

You show us the tool and how your team uses it day to day.

02

Technical audit

We check data integrity, security, and where the logic will break.

03

Findings report

A plain-English breakdown of what's solid and what's at risk.

04

Fix or rebuild

We patch what's fixable or rebuild what isn't — your call.

AI tool audit FAQ

What does an AI-built app audit actually check?
Four things: data integrity (is the model sound?), security (exposed keys, missing permissions), scalability (will it survive growth?), and maintainability (can a human safely change the logic?). You get a written report on all four, ranked by risk.
Yes. The audit is tool-agnostic — we review the code, data layer, and hosting setup regardless of what generated it. AI-built apps tend to share the same failure patterns, so we know exactly where to look.
Most audits complete within one to two weeks of the walkthrough call, depending on the size of the app. You get the findings report first, then we scope any fixes separately — no obligation to continue.

Find out before it breaks.

A free audit call costs you 30 minutes. A production failure costs a lot more.
Book an audit