The intranet with knowledge graph has become a strategic solution for companies that need to organise dispersed information. In Zaragoza, Q2BSTUDIO has shown that a knowledge graph applied to a corporate intranet can change the way a team manages its processes. Unlike traditional folder-based repositories, this approach understands the relationships between people, projects, customers, documents and systems. It is not about storing files, but about giving context to data so that the organisation can find answers quickly and reduce operational friction.
The reference case took place in a mid-size company in Zaragoza with an operations and back-office team of around twenty people. The company used an ERP, CRM, SharePoint, Microsoft Teams and several internal applications. The technology existed, but the information was isolated. An order could appear in email, in a spreadsheet, in a shared document and in meeting notes. Finding a reliable answer required searching in multiple places or asking someone else. That lost time translated into slowness, errors and a lack of visibility for management.
Q2BSTUDIO started the project with a diagnostic phase. The goal was not to impose a technology, but to understand real workflows, dependencies and business constraints. The team analysed times, task volumes, sources of error and information needs. From that analysis, key indicators were defined and the knowledge graph was designed. A knowledge graph models the entities that matter to the company and the relationships between them: customers, contracts, invoices, owners, projects or incidents. This semantic structure allows the intranet not only to return files, but also to offer context and recommendations that make sense.
The solution developed was an intranet with knowledge graph built as a custom application. Q2BSTUDIO integrated the platform with existing systems through APIs and connectors, so the client did not have to replace its ERP or CRM. The knowledge graph consumes operational data and connects it to create a unified view. To achieve this, the team used custom software that adapts to specific processes rather than the other way around. The result is a tool that complements existing systems instead of creating another technology silo.
Artificial intelligence is the component that delivers real value. Q2BSTUDIO implemented a system based on retrieval-augmented generation, with models capable of interpreting natural-language questions and finding answers inside the graph. Employees can ask about the status of a customer, the progress of a project or outstanding invoices. The intranet also includes AI agents that automate repetitive tasks, such as updating records, preparing summaries or detecting issues. When an action could have a significant impact, the system introduces a human review point. This combination of artificial intelligence and supervision reduces risk and improves acceptance.
Security and technical deployment were a core part of the project. Q2BSTUDIO designed a cloud architecture on AWS and Azure, with data encryption, secure VPN connections and role-based access. The company needed to comply with the General Data Protection Regulation and its own audit policies. For this reason, the intranet includes action logging, traceability and access controls at every level. Cybersecurity tests were also carried out to verify that services were not exposed. Combining cloud, private networks and good protection practices allowed the company to meet requirements without sacrificing flexibility.
Measuring results was a pillar from the start. Q2BSTUDIO included a dashboard based on BI and Power BI so that management could monitor business indicators in real time. The dashboard showed cycle times, manual workload, error rates and cost per process. This visibility made it possible to identify bottlenecks that had previously gone unnoticed and to prioritise improvements with data. Managers stopped depending on monthly reports and began making decisions with a clear picture of the operation.
Deployment was gradual, which reduced the impact on daily operations. The team started with a limited process to validate the solution and fine-tune details before expanding scope. Q2BSTUDIO worked with internal staff to train users and explain the benefits of the new intranet. In addition, an administration portal was delivered so that the client could configure AI agents, review costs and adjust recommendations without continuous technical intervention. That final autonomy was key to keeping the tool alive after handover.
The results were visible in the first months. Manual workload fell by 45%, cycle time for core processes was reduced by 32% and operational cost dropped by 28% in six months. Execution accuracy went from 78% to 92%, and return on investment arrived in the ninth month. Beyond the indicators, the team recovered time for higher-value activities. Coordination between departments improved and management gained a panoramic view it did not have before. For a company in Zaragoza, these results are not a promise: they are a real case.
Q2BSTUDIO's conclusion is clear: the success of an intranet with knowledge graph depends on integrating technology with the business, not on using the largest AI model. The combination of custom software, automation, artificial intelligence agents, cybersecurity, AWS/Azure cloud infrastructure and BI/Power BI dashboards creates a solid foundation for transforming operations. Companies that want to move forward should start by understanding their starting point, defining metrics and building a minimum viable product. With that approach, Q2BSTUDIO helped a mid-size company in Zaragoza achieve measurable improvements in less than three months.
The experience also leaves lessons for other organisations. The first is that data quality matters more than the number of features. The second is that users must participate from design time so that the solution fits their way of working. The third is that knowledge does not organise itself: it needs a semantic layer capable of reflecting how the company thinks. Q2BSTUDIO applies these ideas in every project, combining business vision and technical rigour. Zaragoza already has a practical example of how an intranet with knowledge graph, supported by AI and automation, can modernise knowledge management without reinventing every system.
