Web portal for managing AI agents and LLMs in Madrid 2026

Manage AI agents and LLMs from a web portal in Madrid. Reduce costs and technical dependency. Autonomy for your business team.

jueves, 2 de julio de 2026 • 2 min read • Q2BSTUDIO Team

Manage your AI agents without relying on engineering

In 2026, Madrid-based companies adopting generative artificial intelligence and large language models (LLMs) face a key challenge: how to manage multiple AI agents centrally, securely, and efficiently without constantly relying on the engineering team. The answer lies in a specialized web portal that allows business teams to configure prompts, monitor costs, establish governance, and operate AI in production with full autonomy. Q2BSTUDIO, a custom software development company in Madrid, has designed a platform that combines custom applications with AWS and Azure cloud services, advanced cybersecurity, and business intelligence, all aimed at creating web management portals for AI agents.

This type of portal not only centralizes prompt configuration and role-based permission assignment but also offers real-time dashboards with metrics on consumption, latency, and cost per agent or department. Additionally, it integrates complete auditing of every decision and human checkpoint, enabling companies to comply with regulations such as GDPR without sacrificing agility. Q2BSTUDIO uses a modern technology stack (React, Node.js, .NET) and connects with Azure AI Foundry, OpenAI, and proprietary models, ensuring AI for businesses that truly scales.

The company also reinforces its offering with business intelligence services via Power BI, allowing visualization of agent performance and data-driven decision-making. Cybersecurity is another fundamental pillar: connections are protected with VPN tunnels and Azure private endpoints, ensuring sensitive data never leaves the corporate perimeter. All of this is delivered as a turnkey project that starts with a two-week discovery phase and a functional MVP in less than two months.

Quantifiable results reported by Q2BSTUDIO clients include reductions of between 20% and 45% in process cycle times, and up to a 60% decrease in repetitive manual work. Furthermore, by consolidating AI management into a single portal, business teams can launch new workflows without IT intervention, accelerating innovation and reducing support incidents by between 35% and 50%. For companies seeking custom applications that integrate artificial intelligence, cybersecurity, and cloud, Q2BSTUDIO positions itself as the ideal partner in Madrid to lead this transformation in 2026.

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