An AI Code Audit gives you an independent, evidence-based view of an existing software system: how secure it is, how well it's built, what it would take to keep running, and where the risks are. Our Code Factory sweeps every line. Then our engineers verify what matters and turn it into a long-term support plan you can act on.
Most businesses we meet are running at least one system nobody fully understands any more. Before deciding whether to keep it, fix it, rebuild it or hand it to a new support partner, you need to know what's really inside.
“The agency that built it has gone.”
You've inherited a system with no one left who knows how it works.
“It started as a prototype.”
Something built fast, maybe with AI coding tools, is now running real parts of the business.
“Nobody wants to touch it.”
A legacy system that works, until it doesn't, and every change feels risky.
“We're buying, selling or raising.”
Technical due diligence before an acquisition, an investment or a large customer contract.
“We need a support partner.”
You want an honest scope of support, so you can compare partners fairly, including us.
Agents give the audit its breadth, and engineers give it its depth. The gates in green are where our people do the work no tool can.
We agree what's in scope, sign an NDA and get read-only access to the code. We don't need your production data, and we'll tell you if a finding means we should look at how live data is handled.
Code Factory reviewers read the whole repository cold, alongside deterministic quality and security scanners, a dependency and licence audit, a secrets scan and an attempt to build and test from scratch.
Agents map the architecture, the integrations, the data flows and where personal data lives. The documentation agent drafts an architecture overview that most inherited systems have never had.
Our engineers check every serious finding by hand, throw out false positives, and judge the real risk in the context of your business. They also talk to the people who run and use the system.
We prioritise the fixes, estimate the effort and recommend a long-term support approach, with a 12-month roadmap and the costs set out.
We present the findings to your leadership team in person, take the hard questions, and leave you with everything you need to decide, whoever you choose to support it.
For every lens, agents do the exhaustive checking and engineers make the judgement calls. Select a lens to see the split.
Can it be broken into, and what would an attacker get?
Where personal data lives, and whether it's handled lawfully.
How easy it will be to change safely.
Whether you can change it without breaking it.
What it's built on, and whether that's still supported.
How it fits together, and whether it will scale.
How it's deployed, watched and recovered.
How much of the system lives only in someone's head.
Automated tools on their own produce long lists that nobody reads. The value of an audit is in the filtering: knowing which findings are real, which matter to your business, and which to fix first.
Illustrative figures for a typical mid-sized business application
Every audit ends with a recommendation on what to do with the system over the next one to three years, backed by the evidence, with the effort and running costs set out for each path.
Whichever path you take, we lay out the support options in plain terms: managed by us, co-run with your team, or a full handover to your people or another partner. See how these work on our Scale page.
A health rating for each lens, the verdict and the top priorities, on a few pages your board will actually read.
Every verified finding with evidence, severity, fix and compliance mapping, exported to your issue tracker.
How the system fits together: components, integrations, data flows and where personal data lives.
Written to help you answer customer security questionnaires and to feed your data protection impact assessment.
The recommended path, sequenced by priority, with the effort and indicative costs for each stage.
How to build, deploy and roll back the system, written down, often for the first time.
If your system is in better shape than you feared, we'll tell you, and we won't invent work to fill a roadmap.
The report, findings and runbooks are yours. Use them with us, with your own team or with another partner.
Most problems come from deadlines and budgets, not bad engineers. We write reports your current team can stand behind.
Read-only access to the code, under an NDA. We don't need your production data.
Eight lenses: security, data protection, code quality, tests and reliability, dependencies, architecture, operations, and knowledge, meaning how much of the system lives only in someone's head.
Yes. Prototypes built quickly with AI coding tools that are now running real parts of a business are one of the most common reasons clients ask for an audit.
No. The recommendation is whatever's right for your system, including retiring it. The report, findings and runbooks are yours to use with any partner.
An executive summary, a findings register for your issue tracker, an architecture map, a security and data protection summary, a 12-month support roadmap and a runbook starter pack.
Tell us about the system and what's prompting the question. We'll come back with a scope, a timeline and a fixed price for the audit.