Across most organisations, AI-assisted tools are being built by people who aren't developers, in teams that haven't asked for permission, using data that hasn't been assessed. Our AI Vibe Code Discovery maps what exists, identifies where the risk sits, and establishes the conditions under which vibe coding can be used responsibly going forward.
The person most likely to have built a vibe-coded tool is also the least equipped to know what they have built. Not through any fault of their own. They asked the AI to make it work, and it works. The security decisions, the data handling obligations, the compliance exposure, the dependency risk: none of those were choices they made. They were choices that were never made at all.
Whether tools are already embedded across your organisation or you are planning how to adopt vibe coding safely, Discovery gives you a clear picture of the current exposure and a practical framework for what comes next.
Tools have been built, shared and quietly relied upon. Some were formally approved. Most weren't. Nobody has a complete picture of what exists, what data it touches or what would happen if it failed. You may have just found one of these tools, or you may suspect there are more than you know about. Either way, the exposure exists whether it has been mapped or not.
The pressure to move fast is real. Vibe coding can reduce technology costs, accelerate internal tool development and lower the barrier to building. But without a clear framework for what can be built, by whom and under what conditions, adoption creates governance risk from the first tool deployed. Discovery establishes that framework before the problems do.
Across both starting points, the challenges are consistent:
No inventory of what has been built with AI assistance or vibe coding tools across teams
Tools processing personal, financial or operationally sensitive data with no assessment of the compliance obligations that creates
No ownership framework defining who is responsible when a vibe-coded tool fails or produces incorrect outputs
Security vulnerabilities that were never considered at build time, particularly in tools that have grown beyond their original scope
No policy defining what can be built informally and what requires a formal development and governance process
Pressure to adopt vibe coding at pace without a proportionate approach to what that creates
Our structured process is designed around your vibe coding questions or built apps to move you from uncertainty to clarity — defining where AI can create value, what conditions must be in place, and how to progress safely and strategically. A typical engagement includes:
We work with your team to establish a clear picture of where vibe coding and AI-assisted development is already happening. This includes identifying what tools exist, what they do, what data they touch, who built them and who relies on them. For most organisations, this stage surfaces more than expected. Tools built months ago that have quietly become critical. Workflows that depend on something nobody formally approved. Data being processed in ways that would concern a compliance team if they knew about it.
Each tool or category of tool is assessed against a consistent set of criteria: security posture, data handling obligations, ownership and accountability, infrastructure suitability and regulatory exposure. The output is a prioritised map of where the risk sits and what the compliance position is across the organisation's current vibe coding activity. Not a theoretical risk register. A specific, actionable picture of what needs attention and in what order.
We work with you to define a proportionate governance framework for vibe coding adoption. This establishes what can be built informally and by whom, what requires a formal development process, how ownership is assigned before deployment and what the escalation path is when a tool needs to be reviewed or rebuilt. The framework is designed to be practical and to match the scale and capability of your organisation, not to create overhead that slows down the legitimate use cases vibe coding is genuinely good for.
For organisations planning to use vibe coding more deliberately, we develop a roadmap that identifies the highest value, lowest risk opportunities, defines the conditions under which vibe coding is the right approach and where a different route would serve the organisation better, and sets out how technical oversight should develop alongside adoption.
The discovery concludes with a clear set of prioritised recommendations. For organisations with existing tools, this covers which need immediate remediation, which can be monitored and which are low risk. For organisations planning adoption, it covers where to start and what governance needs to be in place first. Where tools need to be reviewed, hardened or deployed to production, we can support that directly.
Our position on vibe coding is grounded in delivery. We have reviewed real production systems built with AI assistance and found exactly the gaps the governance argument predicts: authentication tokens in client-accessible storage, patient data transmitted to globally-routed AI models with no data residency controls, no multi-factor authentication on systems handling special category health data, compliance obligations that nobody had assessed. These are not hypothetical risks. They are what happens when software is built fast without the process that makes it safe.
We also understand that vibe coding creates genuine value. The goal of this discovery is not to slow adoption down. It is to establish the conditions under which the organisation can move fast without creating problems that take longer to fix than the time saved.
We're always eager to connect and explore how we can contribute to your journey. Reach out to us and let us know how we can assist you.