According to HubSpot, 90% of companies with more than 10 employees already use a CRM as the basic sales and customer service infrastructure, and the debate about whether to build internal AI-powered solutions or adopt consolidated platforms has gained particular relevance in the Spanish market.
In this sense, from HubSpot they explain that the rise of the so‑called “vibe coding”—the practice of generating applications through AI tools without traditional development—has opened new possibilities for rapid prototyping. However, tech and security experts warn that applying this approach to critical systems like an enterprise CRM can entail significant risks.
Security and Compliance: The Critical Point
Diverse recent studies warn that up to 45% of AI-generated code may contain security vulnerabilities, including exposure of API keys, poorly implemented authentications, or secrets visible in the code. In business environments, where personal data, sensitive business information, and multi‑million‑dollar pipelines are managed, these flaws can lead to security breaches, data loss or operational disruptions.
In Spain, where the General Data Protection Regulation (GDPR) compliance is mandatory, security and data protection have become central criteria in the selection and operation of CRM systems. Companies must ensure robust encryption, granular access control, traceability, consent management, and formal incident‑notification mechanisms.
“A CRM is not just a contact database. It is the operational core that connects marketing, sales and customer service, and it must run with maximum reliability and under strict security standards,” says Diego Santos, HubSpot Marketing Manager for Spain and Latin America.
More Than Technology: Architecture, Maintenance, and Strategy
Beyond security, an enterprise CRM requires an architecture that connects different business elements —such as contacts, companies, opportunities, tickets or products— and that can integrate stably with other systems. It also demands a reliable infrastructure with service level agreements (SLAs) and high availability, as well as ongoing support and regular updates to adapt to regulatory and technological changes.
According to industry analyses, the initial build of an internal solution accounts for only 20–30% of the total software lifecycle cost. Maintenance, technical debt, and functional evolution account for the remaining 70–80%. Moreover, the so‑called “Spaghetti Point”—the moment when accumulated complexity blocks the system’s evolution—usually appears only a few months after launch in improvised developments.
At the same time, the European cloud CRM market continues to grow strongly, surpassing $12 billion in 2025, driven by demand for scalable, secure solutions ready for stringent regulatory environments.
Build vs Buy: A Strategic Decision
In this scenario, the debate, according to HubSpot, is not solely technical, but strategic. Shifting engineering resources toward internal tools can take the focus away from the business’s core objectives. Likewise, relying on internally developed systems can hinder talent recruitment and retention, as well as increase operational risk if the person who built the system leaves the organization.
The company argues that AI should be integrated within consolidated platforms, with built‑in infrastructure, investments in R&D, support, and regulatory compliance incorporated from the design phase. “AI is a tremendous opportunity to improve commercial efficiency, but it must be built on solid foundations. In critical systems like CRM, security, scalability, and compliance cannot be improvised,” says Santos.
In a market like Spain, where CRM is already strategic infrastructure and data regulation is strict, the decision between experimentation and operation carries decisive weight.
