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Estimating the total cost of a corporate intranet that integrates an employee directory and an AI assistant is not a trivial task. Companies seeking to modernize their internal communication and automate processes must consider multiple variables that go beyond the initial licensing. In this article, we analyze the key factors that determine the necessary investment, from the project scope to integration with legacy systems, offering a practical guide so that managers and IT leaders can plan their budget realistically.
The first step in any estimation is the discovery phase. During this period, current workflows are mapped, dependencies on tools such as ERPs, CRMs, or collaboration platforms are identified, and the required level of customization is defined. This is where the development of custom applications becomes relevant, as each organization has unique needs that standard software can hardly cover. A good initial analysis avoids later cost overruns and allows establishing key performance indicators (KPIs) to measure return on investment.
Technological architecture is another cost determinant. Implementing an AI assistant requires deciding between pre-trained cloud models or private deployments with secure connectivity. This is where AI agents come into play, capable of searching for information, answering questions, and executing tasks autonomously. The choice of infrastructure —whether through AWS and Azure cloud services or on-premise solutions— directly impacts operational and licensing costs. Additionally, cybersecurity is critical: any intranet with AI must have VPN tunnels, role-based access controls, and regulatory compliance such as GDPR.
Integration with existing systems —SharePoint, Teams, Active Directory, Salesforce, among others— usually represents a significant part of the budget. Here, experience in business intelligence services and tools like Power BI allows visualizing operational data in unified dashboards, facilitating decision-making. A well-designed intranet does not replace the entire ecosystem but extends it through APIs and custom connectors. This requires a custom software approach that ensures compatibility and scalability.
The AI model itself involves recurring costs: from token consumption in language models to the maintenance of vector knowledge bases. Companies like Q2BSTUDIO offer a web portal that allows business users to configure prompts, monitor costs, and operate workflows without constantly depending on the technical team. This autonomy reduces the maintenance burden and accelerates internal adoption.
To justify the investment to the finance department, it is advisable to prepare a business case that includes a total cost of ownership (TCO) analysis with optimistic, realistic, and conservative scenarios. Typical implementation timelines range from 4 to 8 weeks for a minimum viable product, with an achievable ROI between 6 and 12 months. In medium-sized projects, the investment range usually varies between 5,000 and 60,000 euros, depending on the scope and integrations.
In summary, estimating the cost of an intranet with an employee directory and AI assistant requires considering customization, cloud infrastructure, security, integration with corporate systems, and governance of AI models. Having a partner that combines experience in custom application development, artificial intelligence, cybersecurity, and cloud greatly facilitates this process. Q2BSTUDIO offers a free discovery session to help companies build a solid financial model before starting the project.
