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The digital transformation of companies today involves unifying internal communication with the ability to exchange resources, services, and knowledge among collaborators. A corporate intranet with an internal marketplace is not just a digital bulletin board: it becomes the nerve center where employees find information, request services, share capabilities, and automate routine processes. However, for this platform to be truly effective, it must rely on custom applications that adapt to the culture and workflows of each organization, not generic solutions that end up being abandoned.
The real challenge is not technical, but strategic. Many companies acquire standard employee portal tools and then try to force them to support an internal service marketplace, where one area offers design hours to another, or where equipment and specialized knowledge are exchanged. The key lies in designing custom software that integrates artificial intelligence to suggest collaborators based on profiles, automate requests through AI for businesses, and offer dashboards that management can consult in real time. That is where Q2BSTUDIO makes the difference: instead of selling a template, it carries out a deep discovery phase to map processes, integrations with systems like SAP or SharePoint, and defines baseline indicators from day one.
Recent figures are revealing: according to industry analysis, 76% of SMEs already use AI tools, but only 14% have embedded them in their core processes. The lack of internal experts is the main barrier for 31% of companies. This explains why more and more executives are looking for a partner that not only builds the portal, but also advises on cybersecurity, cloud connectivity (AWS and Azure cloud services), and the orchestration of AI agents that operate within the intranet. A modern intranet with an internal marketplace must offer RAG-based semantic search, automated approval flows, and unified visibility through business intelligence dashboards like Power BI.
Q2BSTUDIO's approach is incremental: it delivers a minimum viable product in 4 to 8 weeks, integrates legacy systems through secure APIs and VPN tunneling, and deploys the solution on private or public cloud infrastructure according to regulatory compliance requirements. The measurable results are compelling: cycle time reductions between 20% and 45%, operating cost reductions in target flows of up to 35%, and a notable improvement in visibility for decision-making. Additionally, the client receives a web portal manageable by business users, allowing them to modify AI prompts or adjust automation rules without depending on the technical team. For any manager who wants to justify the investment to their CFO, the Q2BSTUDIO team prepares a written business case with indicators, return timelines, and a risk map before starting development.
