Intranet for distributed teams with chat: Valencia 2026 success story

Discover how Q2BSTUDIO implemented an intranet with chat and AI in Valencia: 45% less manual work and 32% faster. Measurable results in 12 weeks.

jueves, 9 de julio de 2026 • 1 min read • Q2BSTUDIO Team

45% reduction in manual work with intelligent intranet

The digital transformation of modern companies demands tools that centralize communication, knowledge, and automation. In 2026, an intranet for distributed teams with chat is no longer a simple bulletin board but becomes the operational core of the organization. Q2BSTUDIO, a firm specialized in custom applications, has demonstrated that combining artificial intelligence with automated workflows can reduce repetitive manual work by up to 45%. The key lies in integrating existing systems —ERP, CRM, SharePoint— without replacing them, and adding AI-assisted semantic search capabilities that accelerate decision-making. Additionally, cybersecurity is ensured through VPN connectivity and private endpoints on Azure, protecting sensitive data. Q2BSTUDIO deploys AWS and Azure cloud services according to client needs, and offers business intelligence services with Power BI that turn operational metrics into executive dashboards. For executives evaluating investments, the platform includes AI agents trained on corporate documentation, capable of answering questions and generating reports autonomously. This perfectly aligns with the AI for business strategy that seeks measurable returns in less than 12 weeks. The case of a Valencian company, where the process cycle accelerated by 32% and accuracy improved from 78% to 92%, illustrates how an iterative approach —with an MVP in 4 weeks and continuous adjustments— maximizes adoption. Q2BSTUDIO not only delivers custom software but empowers business teams to manage their own AI models through a web portal, reducing dependence on engineering. In a context where 76% of SMEs already use AI tools but only 14% integrate them into core processes, having a partner that unites automation, collaborative chat, and artificial intelligence makes the difference between experimenting and scaling.

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