A multilingual intranet in Santa Cruz de Tenerife is not a simple document repository: it is the central nervous system of operations, communication, and knowledge. During 2026, many companies with teams spread across the Canary Islands, mainland Spain, and international markets realized their way of working had changed. Q2BSTUDIO, a company specialized in software development and technology, tackles this need with custom software, AI, cybersecurity, and cloud solutions.
The reference case discussed here is a mid-size company with its main office in Santa Cruz de Tenerife and teams in several countries. The organization had an ERP, CRM, SharePoint, Microsoft Teams, and internal utilities developed over the years. However, every tool worked in isolation, and the digital employee experience was fragmented. Documentation was in English and Spanish; some teams worked in French; there was no single source of truth.
Management identified three urgent problems: onboarding was slow, internal approvals relied on emails and spreadsheets, and there was no clear visibility into operational indicators. The company also had data protection requirements. In this context, the solution could not be an off-the-shelf tool. It needed a platform that understands the company's language, adapts to real processes, and offers security by design.
Q2BSTUDIO started with a discovery phase. During two weeks, the technical team interviewed area leaders, mapped available integrations, and defined baseline indicators. This diagnosis made it possible to separate urgent from important. A phased plan was agreed: a minimum viable product in eight weeks, then a controlled rollout, and finally an optimization stage.
The core of the solution is a web intranet built on public cloud technologies such as AWS and Azure. On this foundation, Q2BSTUDIO developed a layer of custom software that connects the ERP, CRM, SharePoint, and Microsoft Teams. Employees do not need to switch tools to receive notifications, search documents, or complete forms. The intranet acts as a hub that organizes information and gives context to each task.
One of the most valued components is the semantic search engine. It does not simply search keywords; it uses AI and language models with retrieval-augmented generation (RAG). It can find policies, procedures, or contacts even when the query is in another language or uses conversational terms. To do this, the intranet normalizes content and classifies it by area, audience, and confidentiality level.
Multilingual functionality was solved comprehensively. Each article or process card has versions by language. AI agents write, review, and update translations while maintaining corporate terminology. They also detect the user's language and present information in their preferred language. This reduces the workload of the internal communication team and ensures consistency.
The editorial workflow also changed. Before, the communication team took days to manually translate a policy. Now, the initial draft is generated automatically, a human owner reviews the AI suggestion, and publishes with one click. The system learns from corrections and improves the corporate glossary. This combination of automation and human supervision is essential to maintain quality without slowing down operations.
The system includes AI agents aimed at specific tasks. One agent welcomes new people and generates a personalized onboarding plan. Another answers frequent questions about benefits, holidays, or expenses, always linking to the official source. A third agent reviews requests that require human supervision and prepares a summary with the necessary context. The AI does not make sensitive decisions alone; it prepares the decision for a person.
Cybersecurity was a priority. The platform was deployed with role-based access control, authentication integrated with Active Directory, and an audit log. Connections with internal systems used VPN tunnels and private Azure endpoints, avoiding sensitive information exposure on the internet. This approach made it possible to comply with GDPR and internal security policies.
Management also gained access to a dashboard based on Power BI. The panel shows resolution time, employee satisfaction, adoption rate, and cost per process. With this data, leaders can identify bottlenecks and make evidence-based decisions. The intranet stopped being an expense and became a source of business intelligence.
Results in the first quarter exceeded expectations. New employee onboarding went from three weeks to less than one. Average approval time dropped 78% and the administrative workload of the operations team fell by around 40%. These numbers are not anecdotal; they are the consequence of integrating AI and automation into core business processes.
One often forgotten aspect is customer autonomy. Q2BSTUDIO delivered an administration portal from which the business team can configure flows, enable or disable agents, edit texts, and check AI usage costs. This ensures the company does not depend on providers for every change. Technology serves operations, not the other way around.
Support was not limited to the technical side. Q2BSTUDIO trained teams in small groups so they could learn to use the intranet in their daily context. A style guide was also created for writing multilingual content. This investment in people was key to avoiding an underused tool. Technology, no matter how advanced, only generates value if the team trusts it and knows how to apply it.
Another key lesson is the importance of integration. Many companies buy new tools and believe the problem solves itself. In this project, the greatest value came from connecting the intranet with the ERP and CRM, eliminating duplicate tasks. The choice of AI model was secondary; the main point was understanding the workflow and where automation fits.
Q2BSTUDIO's team also emphasizes content governance. Translating documents is not enough; it is necessary to define who can publish, how often information is reviewed, and which versions are current. The intranet includes alerts for owners to review outdated content. This avoids the classic problem of outdated documentation that discredits the system.
The project was executed in twelve weeks, but the relationship with the company did not end there. During the first half of 2026, adjustments were made based on usage metrics. The final version includes modules that were not initially planned, such as an assistant for preparing commercial proposals. The platform's flexibility was decisive in responding to these new opportunities.
For companies in Santa Cruz de Tenerife, this model shows that it is possible to compete internationally without losing operational control. The combination of custom software, AWS/Azure cloud, AI agents, cybersecurity, and BI/Power BI creates a robust platform that supports growth.
If an organization needs to move in this direction, Q2BSTUDIO offers a clear process: discovery, MVP, deployment, training, and continuous improvement. It is not about adopting technology for fashion, but about solving concrete problems with real metrics and deadlines. A multilingual intranet is a perfect example of how well-applied technology generates value every day.
