.jpg)
The evolution of corporate intranets toward intelligent platforms with employee directories and AI-based assistants has opened new productivity opportunities, but also introduces technical risks that require rigorous evaluation. A security and architecture audit has become a critical step before deploying or upgrading such systems, especially when integrating with cloud services, internal databases, and private language models. In this context, having a technology partner that offers specialized cybersecurity services makes it possible to identify vulnerabilities in the authentication layer, the SQL schema, document permissions, and the governance of AI agents.
Companies adopting custom applications for their intranet often seek to combine an up-to-date employee directory with a virtual assistant that resolves internal queries, automates workflows, and integrates with tools such as SharePoint, Teams, or Active Directory. However, without a thorough architectural review, issues such as scalability problems, information leakage in model prompts, or hidden inference costs may arise. This is where Q2BSTUDIO's expertise in AI for businesses makes the difference: they carry out a discovery phase that maps current flows, identifies dependencies, and defines baseline KPIs, then delivers an MVP within weeks without compromising security.
The audit they propose covers fundamental aspects: architecture and scalability risks; SQL query performance, indexes, and migrations; role-based access control (RBAC) and sensitive data exposure; and, specifically, risks associated with artificial intelligence, such as prompt leakage, traceability of RAG systems, token cost, and AI agent behavior. Additionally, they review the deployment: secrets, environments, CI/CD, monitoring, and backups. All of this is summarized in a report with severity levels, quick fixes, and a remediation roadmap with implementation estimates.
For organizations operating in Bilbao or anywhere in the world, delegating this review to a team with knowledge of AWS and Azure cloud services and business intelligence tools such as Power BI is strategic. The combination of VPN tunnels, Azure private endpoints, and privately deployed language models ensures that the AI assistant operates within regulatory compliance (GDPR) and corporate security boundaries. At the same time, cost visibility and flow observability enable management to make data-driven decisions.
Q2BSTUDIO not only audits but also designs and implements custom software so that the client is as autonomous as possible in managing their AI. They deliver a customized web portal where business users can configure prompts, monitor costs, and operate workflows without relying on engineering. Quantifiable results typically achieved include cycle time reductions of 20 to 45%, operational cost savings of 15-35%, and up to 60% reduction in repetitive manual work.
For executives and IT managers evaluating vendors, the key question is not just whether the solution works, but whether it is ready to scale securely. A security and architecture audit like the one offered by Q2BSTUDIO provides the peace of mind needed to move forward confidently, backed by a business case written with KPIs, payback, and a risk register before development begins.
