The cost of an AI-powered corporate intranet in Seville in 2026 cannot be answered with a fixed price. It depends on the company's digital maturity, document volume, systems already in production and the adoption speed the management committee wants to achieve. Q2BSTUDIO, a software development and technology company, starts from a simple premise: the budget should reflect the value the intranet brings to processes, not the number of features in a catalogue.
Many companies in Seville already use SharePoint, Microsoft Teams, an ERP or a CRM. That starting point matters because an AI-powered intranet does not completely replace those tools; it organises them and makes them accessible from one experience. An employee asks in natural language: where is the remote work policy? or which supplier invoices are pending? and the system locates the answer, summarises it and, when necessary, launches an automation. This knowledge layer requires custom software development, not a quick configuration of a standard portal.
The first cost driver is scope. Four areas usually make the difference: content and governance, search experience, process automation and dashboards. An intranet designed only to publish internal news barely requires an AI budget. In contrast, an intranet that indexes manuals, contracts, Power BI reports and employee know-how involves indexing, versioning, metadata and an editorial team. Q2BSTUDIO calculates consulting, development and testing hours based on the number of workflows that must be transformed.
The second driver is integrations. Connecting Active Directory, SharePoint, Teams, an ERP and a database on AWS/Azure cloud adds value and cost. Every connection requires authentication, permission control, data transformation and compatibility tests. Well-executed integrations keep the intranet from being an island; poorly executed ones create duplicate data and mistrust. In Seville, it is common to find companies with several sites and different ERP generations. Q2BSTUDIO recommends listing every information source before signing the scope to avoid unexpected integration costs.
The third area is AI architecture. Using a public model through an API is not the same as deploying a private solution on Azure AI Foundry or equivalent AWS services. Confidential information needs private environments, encryption, VPN tunnelling and data retention policies. An intranet with retrieval-augmented generation (RAG) also includes a vector database, a prompt orchestrator and an answer evaluation system. Q2BSTUDIO adapts this architecture to the client's budget, combining lightweight models for operational tasks and large models for complex reasoning.
The fourth variable is cybersecurity. An AI-powered intranet concentrates strategic information: payroll, client data, projects, code and internal communications. If it is not properly protected, the search engine can become a leak channel. Q2BSTUDIO therefore applies role-based access control, audit logging, encryption in transit and at rest, and mechanisms to prevent AI from showing information that an employee should not see. In sensitive cases, cybersecurity and pentesting tests are carried out before go-live. This effort is an investment, not an expense: it prevents incidents that would cost much more.
The fifth variable is operations and maintenance. Once the intranet is live, the organisation needs to measure answer quality, update indexes, review token costs, train new users and evolve automations. Q2BSTUDIO delivers an administration portal so clients can manage data sources, review prompts and see usage indicators. This autonomy reduces response time to internal changes. A monthly budget of between 700 and 2,500 euros should be reserved for maintenance, evolution and infrastructure consumption.
Schedules also affect the real cost. A well-planned project is cheaper than an improvisation that drags on for months. In a typical engagement, Q2BSTUDIO spends one or two weeks on discovery, four to eight weeks on the MVP, and then develops integrations and security improvements in short cycles. The client can start using the search engine from the first weeks and validate hypotheses with real employees. This model reduces risk and allows investment to be adjusted according to the data collected.
The total investment for an AI-powered corporate intranet in Seville in 2026, in Q2BSTUDIO's experience, ranges from 6,000 to 70,000 euros for initial implementation. Lower-budget projects serve specific departments, with limited information sources and standardised internal processes. Higher-budget projects are for organisations with multiple sites, heterogeneous systems, GDPR requirements and high availability needs. Custom applications and enterprise AI make it possible to scale without changing provider or rebuilding the platform.
It is more useful to compare projects by return than by price. If document search takes the team ten hours a week and the intranet reduces it to three, the company recovers the investment in a few months. Q2BSTUDIO defines metrics such as onboarding time for new employees, incidents resolved by the assistant, hours saved in administrative tasks and better decision making. These KPIs are connected to Power BI dashboards so management can see the impact with objective data rather than perceptions.
The next level is to add AI agents to the intranet. These agents not only answer, they also carry out supervised tasks. For example, an agent can extract invoices from an email, check approval rules, send them to the manager and update a Power BI report. Every step records who authorised the action. This kind of intelligent automation does not increase costs much when the architecture is already ready, but it multiplies the return because it turns the intranet into a working platform instead of a file. Q2BSTUDIO recommends introducing agents after verifying that semantic search quality is good, so that processes that are not yet documented are not automated. The artificial intelligence solutions a company can contract today are modular and scalable.
Choosing a local partner in Seville has operational advantages. Q2BSTUDIO knows the Andalusian business environment and can run on-site workshops to detect resistance to change, adapt the AI vocabulary and prioritise high-impact use cases. In addition, as a technology company with experience in custom software, cloud, BI and cybersecurity, it provides an integrated view that avoids the pilgrimage between consultancies and tool vendors. For this kind of project, it is wise to request an initial diagnosis and compare proposals with written scope and clear metrics.
Executive summary: an AI-powered intranet for Seville in 2026 is not a luxury but an efficiency tool with controllable costs. The budget depends on scope, integrations, AI architecture, cybersecurity and operations. A medium-sized company can implement a solid foundation for under 30,000 euros and expand it later. Q2BSTUDIO recommends starting with a small pilot, measuring indicators, training a group of internal ambassadors and scaling. That reduces risk and ensures the cost becomes measurable return.
