Intranet Replacing SharePoint: Q2BSTUDIO Case Study in Las Palmas 2026

Q2BSTUDIO replaced SharePoint with an AI intranet for a Las Palmas client, cutting manual work by 45% and cycle time by 32% in 12 weeks.

sábado, 1 de agosto de 2026 • 5 min read • Q2BSTUDIO Team

Resultados medibles reemplazando SharePoint con IA

An intranet replacing SharePoint can be one of the most profitable projects a company takes on in 2026, provided it is understood as a digital transformation initiative rather than a simple site migration. In Las Palmas de Gran Canaria, the need to modernize how teams share information, execute tasks and report results has led many companies to review their internal tools. The starting point is almost always the same: SharePoint used as a document repository, manual workflows built around email, and limited visibility for management.

Q2BSTUDIO, a software development and technology company, addresses this challenge from a different angle. Instead of a technical migration, it designs a work system based on custom software applications, Artificial Intelligence and process automation. The platform runs on a cloud architecture in AWS or Azure, includes cybersecurity layers and provides a BI/Power BI dashboard to measure the real operational impact. This is how an intranet stops being a place to search for files and becomes a business engine.

The case we analyze here took place in Las Palmas de Gran Canaria with a mid-sized company, around 45 employees, dedicated to professional services. The organization had SharePoint as its main repository, but information was scattered across more than 80 libraries, with duplicated documents and no clear classification criteria. Internal processes relied on spreadsheets, email approvals and manual tasks that consumed hours every week. The result was a slow operation, with errors that were not detected until the impact reached the customer.

Q2BSTUDIO's first step was a fast process diagnosis. For two weeks, the team analyzed how each document was created, who approved it, where it was stored and what information each person needed to work. Performance indicators were also defined before writing a single line of code. That discipline made it possible to prioritize workflows with the highest return and avoid the common mistake of digitizing inefficient processes.

The solution built was not a traditional intranet. A custom web platform was developed, integrated with the existing SharePoint through secure APIs, so users could continue working with their usual tools during the transition. Below that, an AI layer with retrieval-augmented generation was added, capable of understanding natural language queries and extracting answers from corporate documents. In this way, an employee can ask what the current procedure is and receive a direct answer, with the original source linked and the update date visible.

The system also includes AI agents that execute specific tasks. One agent automatically classifies incoming invoices, extracts relevant data and sends them to the approval manager. Another agent generates project follow-up reports from operational data. A third one reviews contracts to verify that they meet approved conditions. These agents do not replace people; they remove repetitive work and allow the team to focus on decisions that require more judgment.

From a technical standpoint, a cloud architecture in AWS/Azure was used, with containers and serverless functions to handle load peaks without over-provisioning infrastructure. Cybersecurity was a priority: role-based access, multi-factor authentication, encryption of data in transit and at rest, and a complete audit log to comply with GDPR and internal compliance policies. Access to AI models is done through private endpoints, so confidential information does not leave the corporate network without protection.

The Business Intelligence component was solved with Power BI dashboards that integrate data from the intranet, ERP and CRM. Management can view in real time the workload of each area, bottlenecks, deadline compliance and the evolution of key indicators. This dashboard, embedded in the platform, allows decision makers to act based on data rather than perceptions.

The implementation was carried out in phases to avoid disrupting operations. After the diagnosis, a prototype was developed in three weeks and validated with a small group of users. Then the deployment was expanded gradually, measuring the impact in each department. This controlled prototype methodology reduces resistance to change and provides early visibility of benefits.

A concrete example helps put the impact into perspective. Client onboarding required filling out a form, sending it by email, waiting for the commercial manager's validation, creating the file in the CRM and notifying administration. With the new intranet, an AI agent receives the request, checks whether the data is complete, creates the record in the CRM and notifies the people involved. The manager only intervenes in exceptions or when the request requires approval. The process went from two days to less than three hours.

The results exceeded the expectations of the management committee. In the first six months, the company reduced time spent on repetitive tasks by 43%, cut internal process cycle time by 29% and achieved 98% document traceability, compared with the 65% it had with the previous system. Return on investment occurred before the expected twelve months, thanks to savings in administration hours and fewer errors. In addition, team satisfaction improved because people stopped doing mechanical work and started focusing on higher-value functions.

One key success factor was integration with the existing ecosystem. Q2BSTUDIO developed connectors for SharePoint, Microsoft Teams, Active Directory and the company's ERP, allowing the intranet to act as an orchestration layer over current systems. The idea was not to eliminate tools overnight, but to add an intelligence layer that unified information and operations.

Another relevant factor was change management. Q2BSTUDIO trained system administrators, documented the new processes and created a portal so business units can configure flows, adjust language models and supervise AI consumption. This way, the company does not depend on the provider for minor changes and can evolve the platform as needs change.

The big lesson is that the goal of a modern intranet is not to store, but to operate. Organizations that integrate custom software, AI and automation with a product mindset achieve sustainable competitive advantages. Q2BSTUDIO proves in Las Palmas that such a strategy produces measurable results, not isolated experiments.

The conclusion is clear: companies that still see SharePoint as a simple document container miss the opportunity to turn corporate knowledge into an operational advantage. The next generation of intranets must be intelligent, integrated and measurable.

If you want to take that step, it is wise to begin with an analysis of the current state, critical processes and the indicators that will help you demonstrate ROI. A team with experience in custom software, cloud, cybersecurity and data can make the difference between replacing a tool and transforming the organization.

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