Everyone seems to be building apps with ‘Vibe Coding’. AI coding tools are fast, easy and affordable. But who knows where all the enterprise files, documents and data are going? To avoid knowledge systems spinning out of control in the era of Agentic AI, Systems of Records become ever more critical — and the good news is, you don’t have to choose between innovation and control.
There is a fundamental shift in how businesses build software. For decades, the default question was: should we build this ourselves, or buy an existing product? Building was expensive: it meant hiring developers, managing projects, and dealing with maintenance forever.
Purchasing software was safer and faster, so many companies logically opted for buying tech products and SaaS.
That equation is being rewritten. AI coding tools — what many are now calling “vibe coding” — are making it dramatically cheaper and faster to build custom software.
A business analyst can now describe what they want in plain English and have a working app within hours. Building is no longer 10x more expensive than buying. In some cases, it is cheaper.
The consequences of this shift will be profound, but not all of them are positive.
The coming explosion of custom business apps
When building business tools and applications becomes 10x or 100x cheaper, companies will build a lot more. We are heading toward an explosion of custom internal tools, dashboards, workflow automations, and business applications. Each of those is tailored precisely to the needs of a specific team or process.
From a business perspective, this may feel genuinely exciting. More customisation, faster iteration, tools that actually fit the way people work rather than forcing teams to adapt to the tool. The productivity gains could be enormous.
But this wave of new apps carries serious risks that are easy to overlook in the excitement of the moment.
Three Risks That Come With the Code-Vibing Territory
1. Your existing document systems get bypassed
Most enterprises already have Document Management Systems (DMS). Those are official, governed spaces where important documents live.
These systems exist for good reasons. Audit trails, access control, version history, and regulatory compliance are all must-haves when the cost of the mistake can be millions of dollars in regulatory fines, construction setbacks, massive product recalls, or production delays.
Custom AI-built apps rarely connect to DMS out of the box. When a team builds its own tool to manage a process, they often end up storing documents wherever is easiest: a database, a cloud bucket, or a local folder.
Slowly, a company’s carefully built document governance infrastructure gets circumvented and sidelined, not by malicious intent, but simply because it was never plugged in.
2. Your documents get fragmented across dozens of silos
Each new custom app tends to create its own little pocket of data. Multiply this across a company — different teams, different tools, different storage conventions — and you end up with critical business information scattered across dozens of disconnected silos.
Finding the authoritative version of a document becomes difficult, and at times impossible. Knowing who has access to what becomes even harder. Running any kind of cross-functional analysis or audit is a very real nightmare.
3. Sensitive documents end up in insecure hands
This is perhaps the most underappreciated risk. Custom apps built through vibe coding are often written quickly, by AI agents or junior employees (or both!) working from vague specifications, with minimal security review.
Two factors determine how dangerous this is.
* First: how clearly was the app specified? If instructions are precise and testable, the AI has clear guardrails. If the brief was something like “build a document management system with metadata and workflow,” the AI will fill in the blanks on its own with unpredictable results.
** Second: What are the consequences of a bug? A minor error in a sales prospecting tool might mean a missed follow-up. A bug in an app that handles confidential documents could mean those documents become public, or critical records get deleted. The stakes are not the same.
When you combine vague specifications with high-stakes document handling, you create significant and concrete exposure.
And in a world where every team is spinning up its own tools, this scenario will happen constantly.
How to have the cake and eat it too
None of this means companies should try to stop the vibe coding tsunami. That would be both futile and counterproductive.
The right answer is not to prohibit custom apps but to give them a solid foundation to build on.
The key insight is this: not all parts of a custom app carry the same risk. The visual interface — the dashboards, the forms, the buttons — is relatively forgiving. If an AI gets the layout slightly wrong, it is easy to spot and fix. But the layer that handles documents — storing them, controlling access, enforcing metadata, managing versions — is where mistakes have real consequences.
The most productive and safe approach is to let AI-built apps handle the first layer of the ‘cake’ freely, while anchoring the second, richer layer in a reliable, AI-ready system of records. A new generation document management platform like AODocs acts as that foundation: it handles the difficult, high-stakes part — governing the critical documents — through battle-tested APIs that custom apps can plug into without reinventing the wheel.
The division of labour becomes clean:
- DMS takes care of document storage, access control, metadata governance, audit trails, and security. These are the non-negotiable parts where a bug is costly and where proper engineering matters.
- Custom AI-built apps handle the user-facing experience — the screens, workflows, dashboards, and logic specific to a team’s needs — which is exactly the kind of work where vibe coding shines.
- Reusable UI components built to handle the complexity of correctly displaying and editing structured data mean that AI-built interfaces do not have to solve these problems from scratch every time.
Business users can still happily vibe-code their own tools on nights and weekends. But the critical information those tools access stays in a centralised system, with proper governance, security, and traceability.
No compromise on the ingredients, and yet everybody’s enjoying their piece of the cake.
DMS as an AI enabler, not just a safety net
It is worth being precise about what this means in practice. A DMS like AODocs does not just protect companies from the risks of AI. It actively makes AI more capable within the enterprise in three distinct ways:
- Enabling conversational agents: When employees ask questions, the answers should be based on the right document, meaning the authoritative, current version. A carefully structured DMS provides that reliable source of truth, so AI assistants do not hallucinate answers based on outdated or unofficial information.
- Enabling autonomous agents: AI agents that act on your behalf — creating contracts, updating records, processing approvals — need secure, well-structured APIs. An enabling DMS takes care of that part, so agents can work on business-critical documents without creating security holes.
- Enabling vibe-coded apps: Custom applications built with AI get a solid foundation. The dangerous part is handled. The fun part — building what makes each app unique — is left entirely to the team building it.
Your next move
The vibe coding trend is coming, and the custom business apps boom it will produce may be genuinely thrilling. But excitement is not a substitute for architecture.
Companies that let every team build their own stack, storing documents wherever, with whatever security model the AI happened to generate, will face a fragmentation and governance crisis within a few years.
Companies that anchor their AI-built apps in solid systems of records will get all the creativity and speed, without the exposure. The foundation does the hard work invisibly, so the apps built on top of it can focus on what makes them valuable.
The choice is not between innovation and governance. It is about building innovation on top of governance, so you never have to choose between them.
