Corporate intranet with AI in Las Palmas: 2026 success story. In 2026, digital transformation for companies in Las Palmas de Gran Canaria goes through a corporate intranet with AI. Teams need to locate knowledge, automate repetitive tasks and make decisions with real-time data. Q2BSTUDIO, a software development and technology company, combines custom software, artificial intelligence, cybersecurity, AWS/Azure cloud and BI/Power BI to build solutions that deliver measurable outcomes.
The starting point is usually the same: information in silos, duplicated documents and manual processes that consume hours. In a mid-size company in Las Palmas, employees looked for information in the ERP, email and shared folders. Responses took too long and leaders did not have a global view. The question was not whether they needed an intranet, but how to make that intranet truly intelligent.
Q2BSTUDIO starts each project with a discovery phase. It analyzes processes, KPIs, current systems and constraints. In this success story, three main problems were found: document search consumed more than three hours per person per week; there was no common repository; and onboarding of new employees depended on oral knowledge transfer. From there, a custom software platform was designed on an elastic cloud architecture.
The solution was not a simple repository. A web portal with AI-based semantic search was built. Employees could ask naturally, for example, 'where is the 2026 expenses policy?' and the system returned the exact answer with the source. Behind the scenes, an AI engine with RAG connected to existing systems through APIs. This integration avoided replacing the ERP or CRM, extending the life of previous investments.
Another key component was AI agents. Q2BSTUDIO configured agents capable of resolving internal requests: requesting vacation, checking the status of an order, or generating a follow-up report. Each agent acted within a permission framework and left a trace of its actions. This reduced the administrative burden of the back office and freed time for higher-value tasks.
You cannot talk about an intranet without addressing cybersecurity. The platform was deployed on AWS/Azure cloud with encryption in transit and at rest, role-based access control, and authentication integrated with the corporate Active Directory. In addition, automatic audits and alerts for anomalous access were configured. GDPR compliance was considered from the design phase, not as an afterthought.
The implementation followed a phased approach. In the first two weeks, KPIs were defined and the architecture was validated. The MVP was delivered in week six, allowing a pilot group of employees to use search and agents. In the following weeks, the remaining departments were onboarded and the AI models were refined. By week twelve, the intranet was already the single entry point for internal operations.
The results exceeded initial expectations. Information location time fell by 62%. Repetitive administrative tasks dropped by 38%. The internal approval cycle went from days to hours, with a 27% improvement in response speed. Management began tracking KPIs in a BI/Power BI dashboard, with data updated in real time.
The integration with Power BI was decisive. Instead of waiting for manual weekly reports, managers could see the request funnel, cost per process and team satisfaction in a single view. Q2BSTUDIO connected the intranet with the cloud data warehouse and designed interactive dashboards. Thus, technology not only automates; it also explains what is happening and why.
From a maintenance perspective, the platform remained in the hands of the client. Q2BSTUDIO created an admin portal where business managers can adjust FAQs, monitor agent performance and track AI costs. Client autonomy is a design principle, not an option.
The most important lesson from this success story is that technology must adapt to the process, not the other way around. There is no point in choosing the most advanced AI model if it does not solve a concrete need. That is why Q2BSTUDIO always starts with a business analysis and closes the scope with measurable KPIs. Those who define the problem first obtain the return on investment sooner. To take that step, it is worth relying on artificial intelligence services with a business vision.
For companies in Las Palmas de Gran Canaria that want to move forward on this path, the recommendation is to start with a focused project. An intranet with AI is not cosmetic spending; it is infrastructure that improves productivity and decision-making. Q2BSTUDIO accompanies clients from the first discovery session to the transfer of knowledge to the internal team, with a practical and results-oriented approach.
