How Much Does It Cost to Fix a Broken AI-Built App?

Short answer: fixing a broken AI-built app is usually far cheaper than the rebuild founders fear — most rescues come in under $10,000, with an audit from a few hundred dollars and a targeted fix typically $2,000–$5,000. We price this transparently and fixed, because the honest truth is nobody can quote your fix accurately without looking first — the price is driven by *how many* things are broken and *how deep*, not by a menu. Here's the full breakdown and what actually moves the number.

Why "Cost to Fix" Is a Different Question From "Cost to Build"

Every agency publishes what it costs to *build* an app. Almost nobody publishes what it costs to *fix* one that's already broken — even though that's now one of the most common situations founders are in. AI tools made *building* trivial (Veracode found AI code is syntactically correct ~95% of the time) but not *safe*: only 55% of AI-generated code is secure, a rate flat for two years (Veracode, 2026). A separate scan of ~5,600 vibe-coded apps found 2,000+ critical vulnerabilities, 400+ exposed secrets, and 175 instances of leaked personal data (Escape, 2025). So a predictable wave of founders now owns an app that demos fine but is insecure or fragile — and when they search "how much to fix it," they get silence or fear. This page is the honest answer. (For the other side of the ledger, see what it costs to build a web app in 2026.)

The 3 Tiers of Fixing a Broken AI-Built App

This is the artifact to keep. Almost every rescue falls into one of three tiers, and we price each one fixed and up front — most land under $10,000, far cheaper than a full rebuild. The mistake is jumping to Tier 3 out of panic when most apps only need Tier 1 or 2.

**Fixed prices agreed up front after a quick audit — most rescues stay under $10,000, and even a full rescue costs a fraction of building again from scratch.*

Every app is different — get your exact fixed quote in a free 30-min discovery call.

The honest through-line: the audit is cheap and non-negotiable, a targeted fix is the usual outcome, and even a full rescue stays under $10,000 — far less than rebuilding from scratch. Anyone quoting you a flat rebuild price *without auditing first* is guessing.

What Actually Drives the Price

Four things move your app between tiers:

1. 1.Severity and number of findings. Three exposed secrets and a missing auth check is a Tier-2 afternoon. Fifty tangled issues is Tier 3.
2. 2.Whether data or secrets are already exposed in production. This raises urgency and real liability (see the breach math below) — it's the difference between "fix it this quarter" and "fix it this week."
3. 3.How much of the code is salvageable. A sound data model with insecure edges is cheap. A fundamentally wrong data model is not.
4. 4.Data-migration risk. If a rebuild is needed, safely moving live user data is often the most delicate — and costly — part.

The Cost of NOT Fixing It

This is why the tiers above are cheap insurance. The global average cost of a data breach hit $4.44 million in 2025, and in the US it reached a record $10.22 million (IBM Cost of a Data Breach, 2025). A $500 audit or a few thousand dollars of hardening exists precisely to keep an exposed-secrets or open-database problem from becoming that number. When 45% of AI-generated code ships with a known flaw, "we'll fix it if something happens" is a bet against odds you can measure.

How to Get an Accurate Quote

1. 1.Start with a health check. A quick triage tells you which tier you're in before you spend anything — our AI App Health Check is free.
2. 2.Get the audit in writing. A prioritized findings list turns "it's broken" into a scoped, quotable set of work — with a fixed price agreed before anyone starts.
3. 3.Fix in severity order. Exposed data and auth first, then stability, then polish — so budget goes to risk, not cosmetics.
4. 4.Only rebuild on evidence. Insist on a specific reason (data model, un-securable foundation) before anyone quotes Tier 3.

Not sure where your app lands? Book a free 30-minute discovery call and we'll give you an exact, fixed quote.

Fix It or Rebuild It? (The Money Version)

For the large majority of AI-built apps, fixing is dramatically cheaper than rebuilding — Tier 1–2 versus Tier 3 — and it keeps the months of product work already captured in your app. A rebuild only pays off when the foundation genuinely can't be secured or scaled. Because a targeted fix is the smaller quote, an honest shop has no incentive to sell you a rebuild you don't need — that's exactly how our AI App Rescue is scoped.

Frequently Asked Questions

How much does it cost to fix a broken AI-built app?

Most fixes fall into three fixed-price tiers: an audit (free triage, or roughly $500–$1,500 for a deep review), a targeted fix of specific issues ($2,000–$5,000), and a full rescue or partial rebuild ($5,000–$9,000). Most rescues come in under $10,000, and the price is agreed up front after a quick audit — because it depends on how many issues exist and how deep they go.

Is it cheaper to fix an AI-built app or rebuild it?

Fixing is far cheaper in most cases, because the app's idea, UI, and data model are usually worth keeping and only the insecure or fragile parts need work. Even a full rescue stays under $10,000 — a fraction of building again from scratch. A rebuild is the exception, justified only when the data model is broken or the foundation can't be secured or scaled.

Why can't you just tell me a fixed price?

Because no one can price a fix accurately without auditing the app first — the cost is driven by the number and severity of issues, which vary between apps. That's why we start with a quick audit, then agree a fixed price up front. A free 30-minute discovery call is enough to point you to the right tier and range.

What makes fixing an AI-built app expensive?

Four things: how many issues exist and how severe, whether data or secrets are already exposed (which adds urgency and liability), how much of the code is salvageable, and the risk of migrating live data if a rebuild is needed. An app with a sound data model and a few insecure edges is cheap; a fundamentally unsound foundation costs more — but still stays under $10,000 in most cases.

Is it worth paying to fix instead of leaving it?

Usually yes, because the cost of *not* fixing is far higher: the average data breach cost $4.44 million globally and $10.22 million in the US in 2025. When 45% of AI-generated code ships with a known vulnerability, a few hundred to a few thousand dollars of audit and hardening is cheap insurance against a much larger loss.

The Honest Takeaway

"How much does it cost to fix a broken AI-built app?" has a real answer: usually a few hundred dollars to find out and under $10,000 to fix — a transparent, fixed price agreed before any work starts, and far cheaper than a full rebuild. The number is driven by how many things are broken and how deep, which is why an audit comes first and any flat rebuild quote without one is a guess. Weighed against a $4.44M average breach, fixing is the cheap option. Every app is different, so get your exact fixed quote in a free 30-min discovery call, start with a free AI App Health Check, or see how our AI App Rescue works.