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In today's business ecosystem, the need to centralize communication, projects, and workflows has become a strategic priority. An intranet with project rooms is not simply a document repository, but a digital ecosystem where multidisciplinary teams collaborate in real-time, automate processes, and make data-driven decisions. In Bilbao, during 2026, Q2BSTUDIO has led a significant transformation in this area, demonstrating how the combination of custom applications, artificial intelligence, and a deep understanding of corporate operations can generate measurable results in less than three months.
The case at hand concerns a medium-sized company located in Bilbao, with between 12 and 25 employees in operations and back office areas. The organization was dragging a series of inefficiencies typical of environments that have grown without a technological integration strategy: disconnected tools, manual processes based on spreadsheets, approvals that dragged on forever, and limited visibility for management. All of this resulted in recurring errors, slow response times, and an operating cost that increased without a corresponding rise in productivity. Management understood that the solution was not to add more tools, but to redesign the way of working from the ground up.
Q2BSTUDIO approached the challenge with a phased methodology: discovery, development of a minimum viable product (MVP), controlled deployment in production, and continuous optimization. During the first two weeks, consultants mapped existing workflows, identified bottlenecks, and established key performance indicators (KPIs) that would serve as a baseline. This step proved fundamental: defining metrics before building any solution is the most reliable predictor of a tangible return on investment.
The technical architecture was based on a custom web portal that integrated artificial intelligence capabilities, workflow orchestration, and connectivity with the company's pre-existing systems, such as SAP, Odoo, Microsoft Dynamics, Salesforce, HubSpot, SharePoint, and Microsoft Teams. It was not about replacing these platforms, but extending them through modern integration patterns. On the AI front, language models with retrieval-augmented generation (RAG) and human-in-the-loop checkpoints were deployed to ensure accuracy and regulatory compliance, especially in processes requiring traceability under GDPR and internal audit policies.
One of the differentiating aspects of the project was the integration of AI for businesses through AI agents capable of processing documents, extracting relevant data, and triggering automated actions in back office systems. These agents did not act autonomously without control: they were designed with checkpoints where a human operator validated critical decisions, reducing risks and improving team acceptance. Additionally, unified dashboards were configured to offer real-time visibility into the status of each project, cycle times, and process efficiency.
The results obtained after twelve weeks speak for themselves: a 45% reduction in repetitive manual work, a 32% acceleration in end-to-end cycle times, a 28% decrease in operating costs during the first six months, and a process accuracy of 92% compared to the initial 78%. The return on investment was achieved nine months from the start of the project. These numbers are not a matter of chance, but the result of a strategy that prioritized real integration over technological hype and applied cybersecurity principles from the design stage, including VPN tunnels, private endpoints in Azure, and audit logs for every action.
The client company not only improved its operational metrics; it also gained autonomy. Q2BSTUDIO delivered a configurable web portal where business users can adjust prompts, monitor costs, and manage AI flows without depending on the engineering department for every change. This self-management capability is key to scaling the adoption of artificial intelligence beyond technical teams. Likewise, the platform was deployed on cloud infrastructure, leveraging cloud services aws and azure to ensure elasticity, high availability, and regulatory compliance.
The main lesson from this experience is that the success of an intranet with project rooms does not depend exclusively on the chosen technology, but on the ability to integrate it with existing systems and to involve teams from the discovery phase. The adoption of tools such as Power BI for indicator visualization and orchestration with n8n for complex automations were key pieces, but always subordinate to a clear business vision.
For managers and IT leaders evaluating providers in Bilbao, this case demonstrates that it is possible to achieve significant results in short timeframes if you work with a partner that combines custom software development, applied artificial intelligence, and a metrics-focused methodology. Digital transformation is not a destination, but a continuous cycle of improvement: each well-executed project lays the foundation for the next. In a market where 76% of SMEs already use AI tools but only 14% have integrated them into critical workflows, the difference lies in execution.
