The cost of an intranet with a knowledge graph in Córdoba in 2026 does not respond to a fixed price. It depends on the volume of data, the processes to be transformed and the level of autonomy that the organization is willing to delegate to artificial intelligence. A traditional intranet only stores documents; an intranet with a knowledge graph interprets relationships between people, projects, clients and systems. This allows an employee to ask questions in natural language and receive a refined answer, with references and, if necessary, with actions executed by AI agents.
In Córdoba's productive landscape, many companies accumulate knowledge in scattered tools: ERP, CRM, spreadsheets, email and legacy applications. The knowledge graph acts as a unifying layer that organizes entities and relationships, reducing search time and avoiding decisions based on outdated information. To achieve this, it is necessary to build a solid semantic model, clean data and define access rules. That initial phase is the most important and often the one with the greatest impact on the budget.
Functional scope is the first major cost driver. A project that starts with one department and a limited data set cannot be compared with another that aims to cover all business areas. Each approval workflow, each dashboard and each AI agent added requires analysis, development and testing. For this reason, the most cost-effective projects usually begin with a bounded pilot, measure results and then scale. Modularity allows investment to be adjusted to the real priority of the business.
Integrations also determine cost. An intranet with a knowledge graph needs to talk to systems such as SAP, Salesforce, Microsoft Dynamics, Odoo, SharePoint or Teams. Each connection involves authentication, synchronization schedules, data formats and fault tolerance. If systems are hosted in the AWS/Azure cloud or in a private environment, the architecture must include secure connectivity, possible VPN usage and key management. Choosing custom software avoids paying for unnecessary connectors and allows development to adapt exactly to the company's processes.
Cybersecurity is another budget pillar. An intranet handles confidential information: payroll, commercial strategy, intellectual property, production plans. Protecting that data requires role-based access control, activity logging, encryption in transit and at rest, and a clear update policy. In regulated environments, the solution can be deployed in a hybrid model, with the most sensitive data in a private environment and cognitive services in the cloud. The higher the cybersecurity requirement, the greater the technical effort and also the trust of users.
Business intelligence and user experience are not an extra. Without a clear interface, adoption drops; without dashboards, management does not perceive the return. This is where Power BI integration makes sense: the knowledge graph generates activity data, resolution times, most used workflows and bottlenecks. Visualizing that information in real time helps justify the investment and identify opportunities for continuous improvement. In addition, mature AI agents automate repetitive tasks, such as classifying documents, answering frequent requests or updating master data, always with human supervision when the decision has a relevant impact.
In this context, Q2BSTUDIO brings a practical vision. It does not simply install a platform; it analyzes current processes, identifies critical data and designs a knowledge graph intranet based on real needs. Its team combines custom software development, system integration, AWS/Azure cloud architectures, cybersecurity and experience in enterprise AI. This combination means the client does not depend on multiple providers and the solution can evolve with the business.
What does it really cost? For a service company with organized data and defined needs, the budget can range between 25,000 and 45,000 euros. For an industrial or commercial organization with multiple integrations, several departments and AI agents in production, the investment usually exceeds 65,000 euros. These figures cover analysis, design, development, testing, deployment and training. Subsequent maintenance depends on the agreed evolution level: updates, support, new data sources and continuous model improvement.
Q2BSTUDIO delivers a scope document with assumptions, deliverables, risks and a work plan before starting. This makes it possible to compare options with objective criteria and avoid surprises. Furthermore, because it is built with custom software, the company retains ownership of its business logic and can extend it without being trapped in a rigid license.
Another aspect that many companies overlook is the ownership model. An intranet built with closed proprietary technologies can create vendor dependence. In contrast, a custom-developed solution allows the code, graph configuration and integration scripts to belong to the client. This facilitates future migrations, audits and expansions. Q2BSTUDIO works with this approach: it delivers documentation, code in controlled repositories and manuals so the internal team can operate and evolve the platform with autonomy.
Ultimately, the cost of an intranet with a knowledge graph in Córdoba in 2026 is a strategic investment. Organizations that integrate AI and data into their processes gain clear advantages in speed, accuracy and adaptability. Having a local technology partner with experience in AWS/Azure cloud, cybersecurity, Business Intelligence and AI agents makes the difference between one more tool and a system that drives digital transformation.
