The corporate intranet has stopped being a simple document repository. In Madrid, 2026 is shaping up as the year when many companies decide to leave SharePoint behind and build their own platform, ready for AI and able to operate in production with guarantees. The question is no longer how to migrate files, but how to create a system that combines custom software, artificial intelligence and an integrated work experience without exposing sensitive data.
Q2BSTUDIO approaches this challenge from a technical and business perspective. It is not about installing a product, but about designing an intranet that supports the organization's growth. Replacing SharePoint makes sense when the new system reduces dependence on manual processes, makes knowledge easier to find and automates tasks. To achieve this, production in Madrid during 2026 requires a clear methodology: review the current architecture, define workflows, select the right cloud technologies and prepare deployment with the same guarantees as any critical system.
The first common mistake is thinking that the intranet is just a website. A modern intranet is a software ecosystem connecting identities, data, applications and processes. That is why the initial diagnosis must include a review of existing integrations, permission management and data quality. In this respect, AI solutions are not added at the end: they are incorporated from the design phase so that semantic search, summarization and content recommendations become a natural part of the experience.
Architecture is the next step. Many companies in Madrid maintain hybrid infrastructures, with on-premise systems and cloud services. Replacing SharePoint does not mean getting rid of those systems, but integrating them securely. This is where work with AWS/Azure cloud comes in, enabling scalable, containerized and monitored environments. The choice between AWS and Azure depends on factors such as cost, region, available AI services and regulatory compliance. In 2026, the trend is to use both: AWS for specific workloads and Azure for AI and data services.
Corporate AI requires a level of control that consumer public solutions do not offer. A RAG-based assistant needs to connect to internal knowledge sources, respect permissions and filter information before showing it. Q2BSTUDIO deploys this type of system in private environments, using Azure AI Foundry as a basis for orchestrating models and VPN tunnels when data resides inside the organization. That way, the intranet can retrieve information from SharePoint, Teams or ERP without confidential documents leaving the authorized perimeter.
AI agents represent the next level of automation. They do not just answer questions: they execute tasks, send alerts, update records and request approvals. In a production intranet, these agents must operate with human supervision and audit logs. If an agent decides which invoices need review or which incidents should be prioritized, there should be a checkpoint. The key is that technology does not act as a black box. For this reason, Q2BSTUDIO includes web portals so business users can configure their own prompts and monitor agent behavior.
Decision-making also improves with BI/Power BI dashboards. Once the old intranet is replaced, usage data, process times and agent activity are integrated into dashboards that help identify bottlenecks. Management can see at a glance how the platform is used, which teams adopt it better and which areas need training. This visibility is one of the most valued benefits by CIOs, because it turns the intranet into a measurable asset rather than an inevitable expense.
Production launch is a process that must be planned with the same rigor as a product launch. It is not enough to upload a new application and hope employees will use it. It is necessary to define a phased deployment strategy, including pilot tests with specific departments, rollback plans and performance measurement. Continuous integration and continuous deployment (CI/CD) make it possible to introduce improvements frequently and reduce the risk of each version. Q2BSTUDIO applies this discipline in SharePoint replacement projects, allowing the intranet to evolve without service interruptions.
Another key aspect is data management. Before migrating, it is advisable to classify documents, remove duplicates and decide which information is worth keeping. Many intranets fail because they drag years of obsolete files that make search a frustrating experience. AI can help tag and summarize documents, but initial cleaning remains a business decision. A consulting team must support responsible areas in defining a clear taxonomy and an archiving schedule.
In summary, replacing SharePoint in Madrid during 2026 is not a simple technology change. It is an opportunity to rethink how knowledge flows within the company, how AI can automate repetitive tasks and how technology can align with business objectives. Companies that approach this project with a comprehensive vision, supported by a team with experience in custom software development, AI, cloud and cybersecurity, will be better prepared to compete in an increasingly digital environment.
