The corporate intranet with AI search has become a priority for companies in Valladolid that need to organize information, speed up decision-making and reduce administrative work. During 2026, more mid-sized companies are leaving behind static repositories and shared folders to adopt an intelligent, secure digital environment connected to their management systems.
Q2BSTUDIO, a software and technology development company, is leading this change with a practical, results-driven approach. Its proposal combines custom software, AI, process automation, cybersecurity and AWS/Azure cloud. The result is an intranet that not only stores documents, but also interprets employee queries, finds relevant answers and suggests actions within the usual workflow.
The success story summarized below took place in a distribution company with 35 employees and two workplaces in Valladolid. The company relied on spreadsheets, emails, a limited ERP and a file system with no clear criteria. Each department managed information with different tools, which led to duplication, delays and almost no visibility for management.
The objective was clear: centralize all operational information in a single platform and allow any employee to find what they needed with a simple search. Management also wanted to reduce the time spent on repetitive tasks and obtain reliable indicators to detect problems before they affected the business.
Q2BSTUDIO began with a diagnostic phase in which key processes, existing systems, access levels and the most frequent bottlenecks were analyzed. From there, a phased implementation plan was defined, with a first version available within a few weeks and a subsequent adjustment period to adapt the solution to the team's real needs.
The intranet was built as a modular web platform. Employees and managers access a single portal from any device, with a semantic search engine that understands natural language. For example, if a salesperson asks about the delivery time of an urgent order, the system locates the relevant policy, the responsible contact and any exceptions recorded in previous months.
AI agents were also incorporated to automate specific tasks. These agents help classify incidents, generate meeting summaries, prepare answers to frequently asked questions and review data before approval. They operate with configurable rules and human supervision checkpoints, so critical errors require validation before execution.
Security was treated as an essential part of the project. Q2BSTUDIO implemented multi-factor authentication, role-based access control, data encryption at rest and in transit, and a detailed audit log. Cybersecurity protocols were also defined to protect the intranet from unauthorized access, and all personal data processing was aligned with GDPR.
In terms of infrastructure, the platform was deployed on AWS/Azure cloud. This choice made it possible to use managed AI services, scale processing capacity on demand and maintain a predictable cost model. The intranet was integrated with the ERP and CRM through APIs, and also connected with Microsoft 365 email and calendars, avoiding replacement of tools that were already working.
The impact on operations was significant. Time spent searching for information and completing manual documents fell by 37%. Internal incident resolution improved by 29%, and area managers began to receive automatic reports. Management also gained access to a BI/Power BI dashboard summarizing real-time activity: hours per project, task status, deadline compliance and team workload.
For employees, the new intranet meant an immediate change to their routine. It was no longer necessary to ask by email where a document was located or wait for someone else to send it. The AI search engine provides instant answers and suggests links to related procedures, which encourages autonomy and reduces interruptions within the team.
From a technical perspective, the project was an example of how AI agents and automation coexist with legacy systems. The architecture prepared by Q2BSTUDIO separates the data layer, business logic layer and presentation layer, allowing each component to evolve without blocking daily operations.
The combination of intranet, AI and reporting enabled faster, more accurate decisions. The company stopped relying on manual end-of-month reports and could identify operational deviations as they happened. Return on investment was achieved in eight months, considering both the reduction in administrative hours and the improvement in service quality.
This case leaves valuable lessons for any company considering an intranet with AI search. First, integration with current systems matters more than choosing the most advanced technology. Second, indicators must be defined before development begins. Third, users must be part of the redesign so adoption feels natural. Fourth, security and privacy must accompany the solution from day one.
Q2BSTUDIO has shown in Valladolid that artificial intelligence can be integrated into a company's daily routine without friction or extra effort. Its ability to combine custom software development, automation and cloud architectures makes each project respond to a real context, with measurable objectives and visible results.
For any company wishing to move in this direction, the next step is a short discovery workshop with Q2BSTUDIO. In a working session, processes are analyzed, improvement opportunities are identified and a realistic implementation plan is defined. This avoids investing in generic solutions that do not fit how each organization works.
