How Much It Costs to Fix a Broken AI App

Written audit $900, credited against the fix; fixes priced on a written scope. What really drives the cost.

July 13, 20267 min readAI

Short answer: fixing a broken AI-built app is usually far cheaper than the rebuild founders fear — a written audit costs $900 and is credited against the fix, and typical rescue fixes run $3,000 to $12,000 depending on scope. We price this transparently on a written scope, 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 on a written scope — typical rescues run $3,000 to $12,000, 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.

Tier	What it is	When you need it	Price	Timeline
1 · Audit	Security + code review that finds and prioritizes every real issue	Always first — you can't fix or price blind	Free triage, or a $900 written audit credited against the fix	2–5 days
2 · Targeted Fix	Fix a bounded set of findings (exposed secrets, missing auth/RLS, key bugs)	The common case — foundation is sound, specific things are broken	Priced on a written scope	1–3 weeks
3 · Full Rescue	Re-architect or partially rebuild an unsound foundation, migrating your data	The exception — data model broken, or every change breaks something else	Priced on a written scope	3–6 weeks

Fixes are priced on a written scope agreed after the audit. Typical rescues run $3,000 to $12,000, and even a full rescue costs a fraction of building again from scratch.

Every app is different — get your exact 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 typical rescues run $3,000 to $12,000 — 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:

Severity and number of findings. Three exposed secrets and a missing auth check is a Tier-2 afternoon. Fifty tangled issues is Tier 3.
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."
How much of the code is salvageable. A sound data model with insecure edges is cheap. A fundamentally wrong data model is not.
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 $900 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

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.
Get the audit in writing. A prioritized findings list turns "it's broken" into a scoped, quotable set of work — with a price agreed on a written scope before anyone starts.
Fix in severity order. Exposed data and auth first, then stability, then polish — so budget goes to risk, not cosmetics.
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 quote on a written scope.

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?

A written audit is $900, credited against the fix. Fixes are priced on a written scope, and a typical rescue runs $3,000 to $12,000 depending 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. A rescue is usually a fraction of the cost 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, and the cost is driven by the number and severity of issues, which vary between apps. That's why we start with a $900 written audit, credited against the fix, then price the work on a written scope. 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 cheaper to fix; a fundamentally unsound foundation costs more, though fixing is still usually cheaper than rebuilding.

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 written audit ($900, credited against the fix) 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: a $900 written audit (credited against the fix) to find out, then typically $3,000 to $12,000 to fix on a written scope 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 quote in a free 30-min discovery call, start with a free AI App Health Check, or see how our AI App Rescue works.

Free · no obligation