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The evolution of corporate intranets has moved beyond being a simple document repository to becoming the central hub of business productivity. In 2026, companies operating in Las Palmas de Gran Canaria are seeking platforms that integrate an internal marketplace, allowing teams to access services, applications, and tools in a unified manner. This type of solution is no longer an optional luxury: it is a strategic necessity to accelerate employee onboarding, centralize knowledge, and automate critical processes. However, bringing an intranet project with an internal marketplace to production requires a solid technical approach that addresses everything from architecture to security and observability.
This is where Q2BSTUDIO positions itself as a key ally for organizations looking to make the leap from a validated idea to a real production environment. The company offers a comprehensive service that includes architecture review, deployment planning, CI/CD configuration, perimeter security, advanced observability, database analysis, and post-launch support. This methodology is especially relevant for applications that incorporate generative artificial intelligence, secure RAG systems, deployments on Azure AI Foundry, custom internal tools, and personalized web platforms. In an ecosystem where 76% of SMEs already use AI tools but only 14% have integrated them into key workflows (according to recent studies), having a technical partner that ensures quality production deployment is a competitive differentiator.
The design of a modern corporate intranet cannot be limited to a catalog of features. It must consider integration with existing systems such as SAP, Odoo, Microsoft Dynamics, Salesforce, HubSpot, NetSuite, SharePoint, and Microsoft Teams, as well as custom APIs. Q2BSTUDIO addresses this challenge from a discovery phase where current workflows, baseline KPIs, system dependencies, and operational constraints are mapped. From there, a minimum viable product (MVP) is delivered within 4 to 8 weeks, with production governance that includes role-based access control, audit logging, GDPR compliance, and human oversight points when necessary. For environments requiring secure connections between AI services and on-premise systems, VPN tunnels and Azure private endpoints are implemented, ensuring end-to-end cybersecurity.
Artificial intelligence for businesses is no longer an isolated experiment. Organizations that integrate AI into their core workflows achieve up to five times greater impact than those that use it sporadically, according to the Goldman Sachs SMB AI Report 2026. In this context, Q2BSTUDIO deploys AI agents and RAG (Retrieval-Augmented Generation) systems on secure infrastructures, either on Azure AI Foundry or through private LLM deployments. Additionally, it offers a customized web portal that allows business users to configure prompts, monitor costs, and operate AI flows without relying on the engineering department for every change. This turns AI into an autonomous and scalable resource, aligned with the custom application strategy required by each client.
The internal marketplace component within the intranet allows consolidating multiple tools into a single access point. According to recent surveys, 43% of SMEs would be willing to pay more for a solution that unifies several systems. Q2BSTUDIO designs these marketplaces with a modular approach, integrating AWS and Azure cloud services to ensure elasticity and performance, as well as business intelligence capabilities through Power BI and other real-time dashboards. The resulting observability gives management complete visibility over processes, reducing errors and cycle times by 20% to 45% in target workflows, with a reduction in repetitive manual work of up to 60%.
Executives evaluating this type of project often ask about timelines, costs, and return on investment. Q2BSTUDIO offers a free 30-minute discovery session where specific needs are analyzed. The typical process starts within 1 to 2 weeks, the MVP is delivered in 4 to 8 weeks, and the cost of a focused implementation ranges from €5,000 to €60,000, with a demonstrable return on investment in 6 to 12 months. For AI projects with Azure AI Foundry and secure VPN tunnels, enterprise agreements have been closed above €40,000. Additionally, the company provides a written business case with KPIs, amortization schedule, and risk register before starting development, facilitating justification to the finance department.
Ultimately, the combination of custom software development, artificial intelligence integration, and robust cybersecurity turns the intranet with an internal marketplace into a real efficiency lever for companies in Las Palmas. Q2BSTUDIO, with its senior team of AI architects, automation engineers, and integration consultants, accompanies organizations from the discovery phase to autonomous operation, ensuring that technology not only works but generates measurable and sustainable results over time.
