By Mustapha Baassiri, Co-founder and Chief Technology Officer at Hamachi.ai
Artificial intelligence is lowering the barrier to software development across wealth and asset management, and a growing number of firms are already experimenting with vibe coding—the practice of building software by describing what you want in plain language and letting AI generate the code—
in their practices. Advisors, operations professionals and other non-engineers are increasingly using AI-assisted development tools to customize client onboarding, reporting, workflows and internal operations in ways traditional advisor technology historically could not support.
That shift has real potential and should be viewed as a positive for our industry, where innovation is often slowed by legacy systems, long development cycles and competing technology priorities. By giving more people the ability to build and refine software around real business needs, vibe coding can accelerate workflow improvements and create more customized advisor and client experiences.
But there is a critical distinction financial firms cannot afford to overlook: working software is not the same as enterprise-ready software.
An application that runs smoothly on one person’s computer does not automatically become secure, scalable or reliable enough to deploy across a firm. Without the right guardrails, vibe-coded tools can introduce bugs, data risks, security vulnerabilities and operational weaknesses into an already complex technology stack.
The gap between “it works” and “it’s enterprise-ready”
Vibe-coded tools can appear functional on the surface while still carrying hidden risks beneath the code. A user may confirm that an AI-generated tool performs the intended task, but that does not mean they understand how the code works. That gap creates risk: bugs, inaccuracies or security vulnerabilities can exist undetected. In a highly regulated industry governed by SEC, FINRA and state-level oversight, a lack of transparency around AI-generated code can create compliance, cybersecurity and books-and-records risks.
The issue becomes even more apparent when it’s time to test and validate your applications. Enterprise software typically undergoes extensive quality assurance, security reviews and stress testing before deployment. By contrast, vibe-coded apps often rely on basic functionality testing – confirming that the tool works, but not that it does so reliably or securely at scale.
Testing itself is specialized work. It requires a strong understanding of edge cases, system behavior and how applications respond under stress or unexpected conditions. Even rigorously tested enterprise software still ships with bugs, which underscores how difficult it is to fully validate applications at scale. The real question is not simply, “Does it work?” but rather, “Does it work safely, consistently and under real-world conditions?”
Complexity, scalability and where things break down
The risks also grow as applications become more connected and widely used.
Vibe coding works best for simple, contained use cases. A personal dashboard, workflow tracker or lightweight visualization tool may be a reasonable use case. However, as tools connect to core systems, complexity increases quickly.
If the person building or modifying the tool doesn’t clearly understand how these components interact, even small changes could introduce unintended consequences. A tool granted write access to a production database, for example, can corrupt or delete live client records through a single flawed query or unintended operation. This is where vibe-coded applications often begin to break down: a tool that works for one individual user can’t necessarily scale effectively across a team, branch or enterprise.
Using vibe coding where mistakes are visible, not where they are buried
The technology is most valuable where advisors and business users can prototype workflows, dashboards and client experiences more efficiently. In those scenarios, vibe coding can help teams communicate technology needs more clearly and accelerate ideation.
The risk increases significantly, however, when AI-generated applications move deeper into calculations, business logic, data analysis or integrations with core systems. A clunky interface may frustrate advisors, but an inaccurate retirement projection, a disjointed custodial integration or a client-data permissioning error can create serious fiduciary, compliance and operational consequences.
That does not mean firms should avoid vibe coding altogether. It means the more sensitive layers of technology require stronger review, testing and oversight. Vibe coding can be an effective tool for accelerating prototyping and innovation, but unreviewed prototypes should not become systems of record.
What firms need before vibe-coded tools go firmwide
Advisory firms need governance models that allow safe experimentation while establishing clear standards around security, testing and accountability. That starts with defining what employees can build, which tools they can use and what types of data are off-limits. Approved sandbox environments let teams experiment without exposing sensitive client or firm information.
Before deploying a vibe-coded application more broadly, firms should ask several key questions:
- What business, advisor, client service or operational challenge is the tool designed to solve?
- What data does the application access, and does that include sensitive client, financial or personally identifiable information?
- Does the tool have write access to the data, or can it only read it?
- What are the potential consequences of bugs or mistakes in the output? What is the worst that can happen?
- Has the application been evaluated for cybersecurity, compliance and operational risks?
- Who is responsible for supervising, maintaining and approving the tool once it is in use?
- If the tool produces inaccurate or damaging output, how will those errors be caught and corrected?
Once those questions are addressed, vibe coding has the real potential to help financial firms innovate faster and give advisors and business users a more direct role in shaping technology. It can speed up prototyping, customization and workflow improvement in meaningful ways.
But the firms that benefit most will be the ones that bridge the gap between experimentation and enterprise readiness. The opportunity lies in fast, responsible innovation, and vibe coding is a major leap forward.
Hamachi.ai, is a regulatory-first, AI-powered Wealth Intelligence Platform built for investment advisors and asset managers.
