Success story: intranet with innovation funnel in Palma 2026

Discover how Q2BSTUDIO implemented an intranet with AI in Palma, achieving 45% less manual work and 32% more speed in 12 weeks. Real results.

viernes, 3 de julio de 2026 • 3 min read • Q2BSTUDIO Team

Intranet implementation with AI in Palma

In today's competitive business environment, having an internal platform that centralizes communication, idea management, and process automation has become a differentiating factor. Implementing an intranet with an innovation funnel allows organizations to capture proposals, evaluate them, and put them into practice agilely, reducing operational friction and enhancing collaboration between teams. A recent success story in Palma during 2026 demonstrates how a medium-sized company managed to transform its operations thanks to a comprehensive approach of custom software, artificial intelligence, and automation.

The client company, with a workforce of between 12 and 25 people in operations and back office areas, faced typical problems of disconnected environments: intensive use of spreadsheets, manual approvals, recurring errors, and lack of visibility for management. Their systems included an ERP, a CRM, SharePoint, Microsoft Teams, and internal tools, but without real integration. The need was clear: reduce repetitive administrative burden, accelerate work cycles, and improve process accuracy, all while complying with GDPR requirements and internal audit policies.

The solution proposed by Q2BSTUDIO combined the development of an intranet with an innovation funnel supported by AI for businesses, workflow orchestration via n8n, and a customized dashboard. A cloud-native architecture with role-based access control and audit logs was chosen. The initial discovery phase allowed mapping current workflows, establishing baseline KPIs, and designing a phased delivery plan: an MVP in four weeks, a controlled production deployment, and a final optimization stage. Integration with pre-existing systems — SAP, Odoo, Microsoft Dynamics, Salesforce, HubSpot — was key to not disrupting daily operations and maximizing adoption.

The results obtained in less than three months were compelling: a 45% reduction in repetitive manual work, a 32% acceleration in critical process cycle time, a 28% decrease in operating costs during the first six months, and an increase in process accuracy from 78% to 92%. The return on investment materialized before nine months. These indicators reflect the value of combining custom applications with artificial intelligence and automation capabilities, all backed by cybersecurity measures such as tunneled VPN and private endpoints in Azure to protect interaction with on-premise systems.

One of the most relevant lessons learned was the importance of defining KPIs before development: without a clear baseline, it is difficult to measure the real impact. Likewise, integration with existing systems proved more decisive than choosing the most cutting-edge AI model. Incorporating human checkpoints in critical decisions (human-in-the-loop) reduced risks and increased team confidence. The phased implementation minimized disruptions and facilitated internal acceptance. Today, users manage their own AI flows through a customized web portal, without depending on the technical department for each change, demonstrating the autonomy provided by a well-designed solution.

Q2BSTUDIO not only delivered an intranet with an innovation funnel but also offered an architecture ready to scale, with AWS and Azure cloud services securely integrated, and a focus on business intelligence that allows management to have unified dashboards with real-time metrics. The ability to generate reports with Power BI directly from the intranet adds an extra layer of visibility. The implemented AI agents automate repetitive tasks while teams focus on higher strategic value activities. This case in Palma is an example of how a well-planned digital transformation can generate measurable results in a few weeks, without needing to replace the entire existing infrastructure.

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