Intranet with offboarding flow: success story in Granada 2026

In today's business environment, managing employee departures (offboarding) has become a critical process that, if not handled precisely, can generate operational and security risks. A corporate intranet that integrates an automated offboarding flow not only streamlines the disengagement process but also ensures knowledge transfer, access revocation, and regulatory compliance. In Granada, a medium-sized company faced exactly these challenges: manual processes scattered across spreadsheets, emails, and disconnected systems. The solution came from Q2BSTUDIO, which designed and implemented an intranet with an offboarding flow using artificial intelligence for businesses and intelligent automation. The project was executed in twelve weeks, achieving a 45% reduction in repetitive manual work and a 32% reduction in process cycle times. The key was combining custom applications with a workflow orchestrator (n8n) and retrieval-augmented generation (RAG) language models, all deployed on a secure cloud architecture. It integrated with the client's existing systems, such as ERP and CRM, without needing to replace them. Additionally, the incorporation of AI agents allowed for validating documents and critical decisions with human oversight (human-in-the-loop), minimizing errors and increasing team adoption. The company opted for AWS and Azure cloud services to ensure scalability and GDPR compliance. Visibility for management improved notably thanks to unified dashboards based on Power BI, integrating data from all involved departments. From a cybersecurity perspective, role-based access controls, end-to-end encryption, and VPN tunnels for connections with on-premise systems were implemented. The result: a measurable ROI in nine months, with a process accuracy of 92% compared to the previous 78%. This case demonstrates that when betting on custom software and a well-planned business intelligence strategy, the benefits go far beyond mere automation. Q2BSTUDIO positions itself as the ideal partner in Granada for such projects, offering from the discovery phase to continuous optimization, with a focus on quantifiable results and client autonomy in AI management.