In 2026, a multilingual intranet is no longer a simple digital notice board. For a company with offices in Barcelona and teams working in Catalan, Spanish and English, the intranet has become the operations hub where information is consulted, workflows are approved, knowledge is searched and tasks are automated. The Q2BSTUDIO success case in Barcelona shows that a solution built with custom software can transform the productivity of an operations team in less than three months.
The company in this case is a mid-sized company based in Barcelona with commercial presence in several countries. Its operations and back office team relied on spreadsheets, shared folders and manual approvals to coordinate critical tasks. Information was fragmented across the ERP, CRM, Microsoft 365 and an old internal tool. Every language multiplied the problem: outdated documentation, different versions in Catalan and Spanish, and emails in English that got lost in crowded inboxes.
The problem was not only technological. The lack of visibility prevented management from detecting bottlenecks; errors repeated because there was no clear validation flow; and response time to internal clients grew without anyone knowing exactly where it was lost. Pressure on the team was high, and hiring more people did not solve the root cause. Q2BSTUDIO proposed a project with a clear objective: turn the intranet into the company's digital nervous system, not a static repository.
The solution combined custom software development, process automation and artificial intelligence. Instead of installing a generic platform, Q2BSTUDIO designed a modular intranet with language selector, access profiles, intelligent search, metrics dashboard and integrated approval workflows. Content was managed in three languages — Catalan, Spanish and English — with AI-assisted translation and final review by department managers. This ensured terminological consistency and compliance with internal policies.
The most innovative part was the addition of Artificial Intelligence and AI agents. One agent classified incoming documentation, another summarized contracts and proposals, and a third answered frequently asked questions about internal policies using retrieval-augmented generation (RAG). The agents worked with corporate sources, not public data, and made it clear when they needed human intervention. This human-in-the-loop approach reduced the risk of incorrect answers and increased team confidence.
Another key aspect was user experience. The interface adapted to each person's selected language, but also respected corporate hierarchy: each role saw only authorized information. Administrators could publish news from a simple panel without depending on developers. Notifications were centralized, and the habit of using informal channels for important decisions was eliminated. The intranet became the natural place to find out what was happening in the company.
For the system to be truly useful, the new intranet was integrated with the ERP, CRM, Microsoft 365 and Active Directory. It was not necessary to replace any of the previous systems; APIs and standard connectors were used to extend their capability. The architecture was deployed on AWS/Azure cloud, with cybersecurity measures applied from design: encryption in transit and at rest, VPN tunnels for remote connections, role-based access control and full auditing of user actions. GDPR compliance was one of the central requirements throughout the project.
Information was no longer scattered. A Business Intelligence/Power BI module collected data from the intranet and connected systems to show the status of each process in real time. Operations managers could see workload, cycle times, error rates and cost per task. For the first time, management made decisions based on facts rather than intuition. Manual reports, which previously consumed hours every week, were generated automatically.
The deployment was carried out in phases to minimize day-to-day impact. In the first phase, a small group of users validated the MVP and provided improvements. Then the pilot was extended to more departments and workflows were adjusted according to feedback. Finally, the intranet went live with specific training for each profile. This methodology avoided bottlenecks and allowed the team to internalize the new way of working before scaling it.
Project results were measured from the start, because key indicators were defined before writing the first line of code. Within a few months, manual workload in target processes was reduced by more than 35%. End-to-end cycles were shortened by about a third. Operational accuracy rose above 90%. And cost savings allowed the investment to be recovered in less than a year. More important than numbers, the team regained time for valuable tasks and management gained real visibility of the operation.
The experience of this case confirms several lessons. The first is that defining KPIs before starting is the best predictor of return. The second is that integrating with existing systems matters more than choosing the most advanced AI model. The third is that human oversight at critical points reduces errors and improves adoption. The fourth is that a gradual rollout with continuous feedback produces better results than a disruptive one-step change.
For the staff, the change was also significant. Time wasted searching for information dropped noticeably, answers to internal questions arrived faster, and the feeling of working in disconnected environments disappeared. Initial training was short because the tool proved intuitive. Trust grew when people saw that AI proposed, but humans decided at the end.
Q2BSTUDIO is not a consultancy that delivers reports: it is a software development and technology company that designs, builds and supports solutions in production. Its expertise covers custom software, AWS/Azure cloud, cybersecurity, Business Intelligence/Power BI, AI agents and process automation. For companies in Barcelona that need a real multilingual intranet, this combination of technical capabilities and knowledge of the local environment is a clear competitive advantage.
If your company wants to replicate this success case or simply explore how a multilingual intranet can improve internal communication, Q2BSTUDIO offers a free discovery session. In that session, the starting point is analyzed, processes with the highest improvement potential are identified, and a realistic plan with measurable KPIs is defined. There is no need to replace current systems: a clear vision of what you want to achieve is enough.
