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Implementing a corporate intranet with audit logs and regulatory compliance is not just a technical requirement, but a strategic decision that impacts productivity, security, and information governance. In Córdoba, more and more companies are seeking to modernize their internal platforms by integrating artificial intelligence, process automation, and control dashboards, all under strict compliance standards. Q2BSTUDIO addresses this challenge with a comprehensive approach that combines custom applications with cloud and cybersecurity technologies, allowing the intranet to not only store documents but also act as an intelligent business management hub.
The first step involves analyzing current workflows and legacy systems, such as SAP, Microsoft Dynamics, or Salesforce. This is where expertise in AWS and Azure cloud services becomes key, as it enables the design of a scalable and secure architecture. The intranet must support granular access roles, immutable audit logging, and alignment with regulations such as GDPR. Additionally, the integration of artificial intelligence through AI agents and RAG (Retrieval-Augmented Generation) systems accelerates information retrieval and the automation of repetitive tasks, reducing process times by up to 40% in areas such as onboarding, customer service, or incident management.
To ensure the project successfully reaches production, Q2BSTUDIO applies a phased methodology. First, a discovery phase that maps dependencies, baseline KPIs, and compliance requirements. Then, a functional MVP in 4–8 weeks that validates integration with Active Directory, SharePoint, and Microsoft Teams, as well as secure connectivity via VPN tunneling and private endpoints in Azure. Database review, CI/CD configuration, and observability are mandatory checkpoints in the cybersecurity plan, ensuring no data leaks or vulnerabilities in the AI layer.
Once in production, the intranet becomes a living platform. Power BI dashboards provide real-time visibility into usage metrics, operational costs, and AI agent efficiency. Companies can autonomously manage generative model prompts and adjust audit rules without relying on the engineering team. This is made possible through a customized web portal that centralizes enterprise AI management, an approach Q2BSTUDIO calls 'business-manageable AI'.
Tangible results include a 30% to 60% reduction in repetitive manual work, and improved process accuracy thanks to human validation at critical points (human-in-the-loop). In terms of return, projects of this type typically recover the investment in less than a year, with costs ranging from €5,000 to €60,000 depending on scope. For executives and IT leaders, the key lies in choosing a partner that not only understands technology but also knows how to translate compliance requirements into a realistic execution plan, with clear metrics and a multidisciplinary team of AI architects, automation engineers, and security consultants.
