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In a business environment where digitalization and operational efficiency are critical factors, having a modern intranet that integrates new employee onboarding processes has become a strategic priority. Companies seeking to optimize talent management and reduce administrative friction are turning to artificial intelligence for businesses to automate workflows and centralize information. In Granada, a medium-sized service sector company managed to transform its internal dynamics with the help of Q2BSTUDIO, implementing a comprehensive intranet solution with onboarding that combined power bi and other business intelligence tools, achieving a 45% reduction in repetitive manual work and a 32% acceleration in cycle times.
The initial challenge was common to many organizations: disconnected processes, manual approvals, and lack of visibility for management. Q2BSTUDIO approached the project with a focus on custom applications and custom software, integrating existing systems such as ERP, CRM, and SharePoint without needing to replace them. The deployed architecture included AI engines with RAG and human checkpoints, as well as orchestration with n8n to automate administrative tasks. Security was a fundamental pillar, so cybersecurity measures and VPN tunnels were implemented to ensure the protection of sensitive data, all on a cloud services infrastructure of aws and azure that ensures scalability and regulatory compliance.
Results were measurable from the first quarter: a 28% savings in operational costs, 92% accuracy in automated processes, and a return on investment within nine months. The key to success lay in the prior discovery phase, where clear KPIs were defined, and in the phased delivery (MVP in 4-6 weeks, controlled deployment, and continuous optimization). Additionally, the platform includes a customized web portal that allows business users to manage AI flows and monitor costs without depending on the IT department. For operations teams looking to replicate this transformation, Q2BSTUDIO offers free discovery sessions where scope is analyzed, indicators are defined, and a realistic implementation is planned. Experience shows that when technology aligns with business objectives, AI agents and automation not only improve productivity but also enhance organizational culture and data-driven decision-making.
