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In today's business landscape, integrating artificial intelligence into internal workflows has become a determining factor for competitiveness. A paradigmatic case is the development of a corporate intranet that combines an employee directory with an AI-based assistant, a solution that Q2BSTUDIO has successfully implemented in Alicante during 2026. This project not only demonstrates how AI for businesses can transform productivity, but also lays the groundwork for a sustainable digitalization strategy.
The Alicante-based company faced a common scenario: disconnected tools, manual processes using spreadsheets, and approvals that consumed hours of repetitive work. The team, consisting of between 12 and 25 people in operations and back office, operated with systems such as ERP, CRM, SharePoint, and Microsoft Teams, but without an intelligent integration layer. The lack of visibility for management and recurring errors generated increasing costs without a proportional increase in production. Q2BSTUDIO tackled the challenge by combining custom applications with process orchestration and large language models (RAG), all on a secure architecture that includes AWS and Azure cloud services and VPN tunnels to protect sensitive data.
The deployed solution —an intranet with an employee directory and AI assistant— was built following a phased approach: discovery, MVP in 4 weeks, controlled deployment, and continuous optimization. n8n was used for workflow automation, with retries, error handling, and full observability. Integrations with legacy systems such as SAP, Odoo, Dynamics, or Salesforce were carried out via custom APIs, avoiding costly replacements. Additionally, a proprietary web portal was implemented that allows business users to configure prompts, monitor costs, and operate AI agents without relying on the technical team. This last point is key for companies to scale their AI agent initiatives without bottlenecks.
The quantifiable results speak for themselves: a 45% reduction in repetitive manual work, a 32% acceleration in key process cycle time, a 28% decrease in operational costs in the first six months, and 92% accuracy compared to the initial 78%. Return on investment was achieved in nine months. These data reinforce the importance of measuring with KPIs before starting any development, a lesson that Q2BSTUDIO systematically applies in its business intelligence services and analysis with Power BI.
One of the most valuable lessons from the case is that integration with existing systems weighs more than choosing the latest AI model. The adoption of the assistant was accelerated thanks to human checkpoints in critical decisions (human-in-the-loop), as well as the gradual implementation that minimized disruptions. From a cybersecurity perspective, the project complied with GDPR and internal audit policies, using Azure private endpoints and VPN tunnels for communications with on-premise systems.
For executives evaluating providers, Q2BSTUDIO offers a proven methodology that goes beyond technical implementation: it includes a free discovery session to define scope, a written business case with KPIs and return timelines, and a portal that grants client autonomy. In a context where 76% of SMEs already use AI tools but only 14% have integrated them into their core workflows —according to Goldman Sachs 2026 data— having a partner that masters both custom software and intelligent automation becomes a decisive competitive advantage.
