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When planning a corporate intranet that integrates an employee directory and an AI-based assistant, one of the first questions that arises among executives and IT managers is: what really determines its price? The answer is not unique, as the final cost depends on multiple technical and business factors that must be analyzed on a case-by-case basis. From the depth of customization to the complexity of integrations with legacy systems, each variable directly impacts the required investment.
One of the most relevant aspects is the project scope: the number of users, the processes to be automated, and the business units involved define the scale. For example, a basic implementation can start with a minimum viable product in a few weeks, while a global deployment requiring synchronization with active directories, ERPs like SAP, or CRM platforms will demand a greater integration effort. This is where the ability to offer custom applications that exactly fit existing workflows comes into play, avoiding generic solutions that later generate operational friction.
The technological infrastructure also has a decisive influence. Many organizations opt for hybrid deployment models that combine artificial intelligence with AWS and Azure cloud services, ensuring scalability and security. In environments where sensitive data must remain on-premise, VPN tunnels and private endpoints are implemented, adding cybersecurity layers but also technical complexity. Likewise, the use of intelligent assistants based on AI agents with RAG (retrieval-augmented generation) requires private language models and rigorous data governance, including role-based access control and regulatory compliance such as GDPR.
Another determining factor is the level of managed services contracted. While some companies prefer to take full control after go-live, others need ongoing support, monitoring, and KPI optimization. Q2BSTUDIO, as a specialized partner, offers a transparent collaboration model where a deep discovery phase is carried out to map processes, dependencies, and baselines, followed by a phased delivery with an MVP in 4 to 8 weeks. This allows aligning investment with measurable results: a reduction in operational costs between 15% and 35%, and a decrease in repetitive manual work of up to 60%.
The incorporation of unified dashboards with business intelligence tools like Power BI provides real-time executive visibility, facilitating the justification of return on investment to the CFO. Additionally, the ability for business users themselves to configure prompts and monitor costs through a web portal reduces dependence on the engineering department, making the solution sustainable in the long term. In summary, the price of an intranet with a directory and AI assistant is not a fixed number; it is the result of a careful analysis of needs, integrations, and strategic objectives, where experience in custom software, artificial intelligence, and automation makes the difference between an isolated tool and a true engine of business productivity.
