Audits for systems built with AI

From demo to a system you can rely on: audits for systems built with AI

Lovable, Bolt, Cursor and similar tools let you build a product fast. We check whether it is ready for real use, in security, data, load, costs and maintenance, and give a reasoned recommendation on what to do next.

Request an audit

Does this sound like your system?

  • It was built with Lovable, Bolt, Cursor or a similar AI tool, and it works in the demo, but it has not yet faced the load of real users.
  • API keys, passwords or database credentials sit in the code, and nobody is sure who can reach them.
  • Every small fix breaks something somewhere else.
  • The cloud or AI model bill grows faster than the number of users.
  • There is no tested backup, and it is unclear how to restore data if something is deleted.
  • Nobody knows the code in depth and takes responsibility for it.

What we check

Security

  • Permissions and authentication: who sees what, and whether one user can reach another user's data.
  • API keys and passwords: whether they are exposed in the code or in the browser.
  • Common vulnerabilities, such as SQL injection and forms without input validation.

Data

  • Database structure and data integrity.
  • Backups: whether they exist, and whether you can actually restore from them.
  • Where personal data is stored and who can access it.

Load

  • How the system behaves as the number of users grows.
  • Slow queries and points where the system gets stuck.
  • What happens when an external service is unavailable.

Costs

  • Cloud usage and calls to AI models.
  • Unnecessary calls and resources you pay for but do not use.
  • How costs will change as the number of users grows.

Maintenance

  • Code structure, duplication and parts that are hard to change.
  • Automated tests and the release process.
  • Dependencies on libraries and external services.

What you get at the end of the audit

A written report

Covering the five areas: what we found, how serious it is, and what it means for the business.

A prioritized list of fixes

What is urgent, what can wait, and what can stay as it is.

A reasoned recommendation

Stabilize the existing system or rebuild it, and why.

And if the system is in good shape, we will tell you that too.

How it works

1

Introductory call

You tell us what the system does, which tools it was built with and what worries you.

2

Access to the code

You share the code with us and, if needed, the server and database settings.

3

Review

We go through the five areas, in the code and in the environment where the system runs.

4

Report and recommendation

We deliver the report, the list of fixes and the recommendation.

How long the audit takes depends on the size of the system, the number of external services it connects to and how quickly access to the code is provided. We give an accurate time estimate after the introductory call.

What happens after the audit

The report stays with you, and you decide who does the fixing:

We fix it

We address the issues in the priority order set in the report, starting with the most urgent.

We take ongoing responsibility. After stabilization we keep maintaining the system, monitor security and performance, and handle incidents.

Your team fixes it

The report is written so that any experienced developer can work from it. When they are done, you can order a follow-up review of the fixes from us.

Frequently asked questions

No. It is enough to tell us what the system does and give us access to the code. The report is written in plain language for non-developers, with technical detail for your team alongside it.

A system that works in a demo does not necessarily hold up against real users, load and attackers. Security and data problems are usually invisible from the outside until something happens.

Lovable, Bolt, Cursor, Replit, Codex, Claude Code and similar tools, as well as systems where part of the code was written by hand. What we review is the code and the environment it runs in, not the tool.

Only if that is genuinely better than stabilizing. The recommendation is reasoned: what each option requires and what risks it leaves.

No. We develop AI solutions ourselves. AI tools greatly shorten the road to a demo, and the audit is the step between the demo and a system you can rely on.

A penetration test focuses on security and tries to break into the system from the outside. The audit reviews the code from the inside and, beyond security, also covers data, load, costs and maintenance. If the findings justify it, we will also recommend a penetration test.

Want to know whether your system is ready for real use?

Tell us what you built and what worries you, and we will schedule an introductory call.

Request an audit

No sales calls unless you ask for one.