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The cost of an intranet with project rooms is not a fixed number, but the result of multiple variables ranging from functional scope to the underlying technological infrastructure. For companies evaluating this investment, understanding which factors directly impact the budget allows for decisions aligned with business objectives.
First, custom software personalization makes a difference. A generic platform may be economical initially, but it rarely adapts to an organization's real workflows. Custom application solutions allow for modeling specific processes, user roles, and approval logic, which increases development cost but guarantees real integration with daily operations.
Another determining factor is the adoption of artificial intelligence to improve productivity. Incorporating AI for businesses—such as semantic search engines, virtual assistants, or AI agents that automate repetitive tasks—requires prior analysis of corporate data and the configuration of secure models. Technical complexity and associated licenses raise the budget, but they usually generate significant operational savings in the medium term.
Cybersecurity is a non-negotiable pillar in any modern intranet. When handling sensitive information or connecting on-premise systems with the cloud, it is necessary to implement private VPN tunnels, multi-factor authentication, and role-based access controls. Companies operating in regulated sectors must also comply with regulations like GDPR, which adds layers of verification and auditing.
Hosting infrastructure influences both initial and recurring costs. AWS and Azure cloud services offer scalability and security, but costs vary according to user volume, managed services, and required bandwidth. Companies that opt for a hybrid model—with part of the logic on-premise and part in the cloud—must consider additional connectivity and maintenance expenses.
Integration with legacy systems is another key point. Connecting the intranet with tools like ERP, CRM, or collaboration platforms (SharePoint, Teams) via APIs and middlewares involves work in business intelligence services and data transformation. In this regard, Power BI is often used to unify metrics and provide management with real-time dashboards, which adds value but requires specific design.
Finally, ongoing support and product evolution determine the long-term investment. An intranet project with project rooms does not end with deployment; it requires evolutionary maintenance, security updates, and user training. Companies seeking autonomy often request web portals that allow business teams to manage AI workflows without relying on engineering for every change.
At Q2BSTUDIO, each implementation begins with a discovery workshop where current processes, baseline KPIs, and operational constraints are mapped. This allows us to offer a budget tailored to the client's reality, with delivery phases starting with an MVP in 4-8 weeks and a documented return on investment before development begins. From projects of 5,000 euros for basic functionalities to corporate deployments exceeding 40,000 euros—when integrating AI agents with secure connectivity to on-premise systems—the key is to link every euro invested to a measurable result.
