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In today's business context, where internal corporate networks have become the core of collaboration and automation, incorporating artificial intelligence assistants into intranets poses security and architecture challenges that require meticulous review. For a company in Las Palmas de Gran Canaria seeking to deploy an intranet with an employee directory and AI assistant in 2026, integrating advanced technologies is not enough; it is essential to ensure that the underlying infrastructure is robust against risks such as data leaks, model biases, or incorrect permission configurations. This is where a comprehensive audit approach makes sense, combining code review, SQL schema optimization, identity management through RBAC, and artificial intelligence governance.
Q2BSTUDIO's experience shows that a security and architecture audit is not a mere formality, but a strategic investment. By deeply analyzing code quality, database migrations, and AI-specific risks —such as prompt leakage, traceability in RAG, or token cost control— a roadmap is obtained that prioritizes quick fixes and sustainable improvements. This process, which also covers deployment observability, secret protection in CI/CD, and alignment with regulations like GDPR, allows organizations to move forward confidently toward digital transformation. For those evaluating vendors, it is essential to partner with a team that understands both custom application development and the demands of modern cybersecurity.
In this scenario, Q2BSTUDIO positions itself as a technical ally that goes beyond traditional consulting. Its methodology includes a discovery phase where current workflows, system dependencies, and baseline KPIs are mapped, to then deliver an MVP in 4 to 8 weeks. Integrations with enterprise tools such as SAP, Odoo, or Microsoft Teams are carried out using modern patterns that extend, rather than replace, existing systems. Additionally, production governance is deployed with role-based access controls, log auditing, and human-in-the-loop checkpoints, all backed by secure connectivity via VPN or Azure private endpoints when AI interacts with on-premise systems. It is not just about implementing AI for businesses, but doing so with a scalable and secure architecture.
The quantifiable benefits of this approach are significant: reductions of between 20% and 45% in process cycle times, a decrease in operational costs from 15% to 35%, and a notable improvement in management visibility through unified dashboards. The key is that the client does not depend on the technical team for every adjustment; Q2BSTUDIO delivers a customized web portal so users can configure prompts, monitor costs, and operate AI agents autonomously. This is especially relevant in a context where, according to recent studies, 76% of SMEs already use artificial intelligence tools but only 14% have integrated them into core processes. The security and architecture audit thus becomes the first step to close that gap, ensuring that the adoption of technologies such as AI agents, Power BI, or AWS and Azure cloud services is carried out with the highest guarantees.
