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

If you've built something with an AI tool and it isn't ready for customers, the first question is what fixing it costs. It's a hard question to answer from the outside, because the work depends entirely on how far the app got and what the AI skipped.

Here's how to estimate it, what drives the number, and how to judge whether a quote is reasonable.

The short answer

Most AI-built app rescues are a few weeks of engineering, not a rebuild. The work usually falls into three bands:

For comparison, a production MVP built from scratch starts at $25,000. That's the number a rescue should be measured against, and it's why "we'd have to rebuild it" deserves scepticism: your prototype already contains the screens, flows, and business rules, which is the part that's genuinely hard to specify.

Start with an audit, not a quote

Nobody can price this accurately without reading the code. A vendor quoting from a description is either padding heavily to cover the unknown, or will come back for more money later.

A fixed-price audit typically costs $2,000–$5,000 and takes three to five working days for an AI-built app. It should tell you:

• What's exposed right now, and how urgently
• Which parts are sound, which need fixing, and which genuinely need rebuilding
• One fixed price for the whole remaining job
• What it would cost to run per month once live

Insist that the report is yours to keep, usable with any vendor. That single condition separates an assessment from a sales document.

What actually drives the number

How far the app got

Counterintuitively, a further-along app isn't always cheaper to rescue. A prototype with three screens is quick. An app with forty screens, half-built payments, and an admin panel is more work, but it's also much closer to earning money.

Whether the data model holds up

This is the biggest single factor. If the shape of the data broadly matches your business, everything else is fixable in place. If it assumes one user per account and you need teams, that change touches everything and pushes you into the third band.

Whether payments are involved

Payments roughly always cost more than people expect, because doing them properly means verified webhooks, handling duplicate events, failed renewals, and refunds. It's the area where "it works in test mode" is furthest from "safe with real cards".

How many prompts fought each other

An app built in a weekend is usually more consistent than one prompted for three months. Long AI-built projects accumulate contradictory patterns: three ways to fetch data, two near-identical components, refactors abandoned halfway. Consolidating that is real work, and it's why large Bolt projects often cost more to rescue than they look.

Whether you own the accounts

If the app lives only inside the builder's platform, some of the budget goes on moving it into your own GitHub, hosting, and database before any fixing starts. Budget a few days for this if it applies.

What's missing versus what's broken

Fixing security and payments is predictable work. Building the admin panel, the roles, the emails, and the edge cases the demo skipped is new development, and it's scoped like any other feature work.

What the money buys, in order

A sensible rescue spends your budget in this sequence, and a quote that doesn't should be questioned:

1. Lock down data and secrets. Access rules, exposed keys, unauthenticated endpoints. Days, not weeks, and by far the highest value per pound.
2. Move it into your accounts. Your GitHub, your hosting, your database, with staging separated from production.
3. Make payments and auth reliable. The flows that make money and the flows that let people in.
4. Fix the fragile parts. Tests on the critical paths, so future changes stop breaking things.
5. Build what's missing. Admin, roles, emails, edge cases.
6. Launch properly. Monitoring, backups, and post-launch fixes.

If a proposal starts at step five, it's building features on a foundation nobody has checked.

Running costs after the rescue

The build is one bill. Plan for these monthly:

• Hosting and database, usually modest at launch and growing with users
• Any AI features in the app itself, billed per use (see our AI app development cost guide)
• Third-party services: email, SMS, file storage, payments
• Maintenance, at roughly 15–25% of build cost per year, covered in our software maintenance cost guide

How to judge a rescue quote

Good signs:

• It follows an audit that read the actual code
• Security comes first in the plan
• There's a verdict per component, with reasoning, not one sweeping judgment
• The price is fixed, paid in milestones, not upfront
• Everything goes in your accounts from day one

Warning signs:

• A quote without reading the code
• "Rebuild from scratch" recommended after one call
• Security not mentioned at all
• The code will live in their repository
• A large upfront payment

Is it worth it?

The comparison that matters isn't rescue versus doing nothing. It's rescue versus a rebuild, and rescue versus launching as-is.

Launching as-is is the expensive option in disguise. A data exposure involving customer records is the kind of event small companies don't recover from, and the documented case of 170+ Lovable apps exposed through missing database rules shows it isn't a hypothetical risk.

A rebuild throws away validated product decisions and typically costs several times more. It's occasionally right, and our guide on rewriting versus rescuing covers how to tell.

Getting a real number

Our AI-built app rescue service starts with a written audit and one fixed price for the whole job, agreed before any work begins. We have specific processes for Lovable, Bolt, and Replit apps, since each fails differently.

Send us the project link and we'll give you an honest read, including when the answer is that it's in better shape than you feared.