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In 2026, companies with distributed teams in Zaragoza face the challenge of deploying corporate intranets that integrate real-time chat, artificial intelligence, and automated processes. Moving from concept to production requires much more than a nice interface: it demands a robust architecture, security at every layer, and a strategy for integration with existing systems. Q2BSTUDIO, a specialist in custom software, offers a comprehensive approach that combines artificial intelligence for businesses, secure cloud connectivity, and deep knowledge of the local technology ecosystem.
The process begins with a discovery phase that maps current workflows, system dependencies, and baseline KPIs. From there, Q2BSTUDIO delivers a functional MVP in 4 to 8 weeks, using AWS and Azure cloud services to ensure scalability and high availability. Integration with tools such as SAP, Odoo, Microsoft Teams, or SharePoint does not require replacing existing platforms; instead, they are extended through APIs and custom connectors. Additionally, the platform includes AI agents that enable semantic searches, automatic conversation summaries, and workflows that reduce repetitive tasks by up to 60%.
Cybersecurity is a fundamental pillar: Q2BSTUDIO implements VPN tunnels, private endpoints in Azure, and role-based authentication with full auditing, aligned with GDPR regulations. Thanks to cybersecurity applied from the design stage, the intranet can manage sensitive data without exposing the infrastructure. After launch, a customized web portal allows business teams to adjust prompts, monitor costs, and operate AI flows without relying on engineering for every change. For decision-making, dashboards with Power BI provide real-time visibility into key indicators, from cycle times to process errors.
The measurable impact is concrete: operational cost reductions between 15% and 35%, process cycles 20-45% faster, and a 30-60% decrease in repetitive manual work. All of this with an ROI achieved within the first 6 to 12 months. Q2BSTUDIO backs each project with a written business case that includes KPIs, a return timeline, and a risk register, facilitating justification to the finance department. In a year where 76% of SMEs already use AI tools but only 14% integrate them into critical workflows, having a partner that masters both custom application development and AI agent governance makes the difference between an isolated pilot test and a real transformation.
