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In today's technological ecosystem, generative artificial intelligence and agents based on language models (LLMs) are transforming the way companies operate. However, managing multiple AI agents, controlling inference costs, adjusting prompts, and ensuring governance remains a challenge for most business teams. By 2026, the trend points toward specialized web portals that allow functional areas — not just engineering — to configure, monitor, and operate these systems autonomously. Q2BSTUDIO, based in Granada, has developed its own management platform that combines the best of custom software with a practical approach so companies can integrate artificial intelligence into their daily workflows without constantly relying on technical teams.
The lack of internal expertise remains the main barrier to AI adoption, according to 2026 industry reports. Many organizations invest in isolated pilot tests that fail to scale, while 43% of SMEs would pay more for a solution that unifies several tools into a single dashboard. A web portal designed to manage AI agents and LLMs solves exactly that: it offers a single point for prompt configuration, role-based access control, real-time visibility of token consumption and costs per department, as well as complete audit logs. Additionally, it integrates capabilities from cloud services aws and azure to deploy private models, connect via VPN tunneling, and maintain end-to-end security.
Q2BSTUDIO applies its expertise in custom applications to build portals that act as a management layer over the underlying AI infrastructure. Its architecture combines a modern frontend with a backend connected to Azure AI Foundry, OpenAI, Anthropic, and vector search engines, all protected with cybersecurity measures such as SSO authentication, encryption, and intermediate human checks. The result is that business teams can launch new AI workflows from a self-service dashboard, while the finance area obtains detailed cost reports thanks to integration with FinOps tools. It is even possible to incorporate business intelligence services like Power BI to visualize operational and performance KPIs of the agents.
For a company looking to adopt AI for businesses efficiently, having a web portal that centralizes the management of AI agents represents a qualitative leap. Instead of relying on engineering tickets every time a prompt needs to be modified or a model scaled, business users gain autonomy. Additionally, Q2BSTUDIO offers a discovery phase where current processes are mapped, baseline KPIs are defined, and a phased delivery is planned with an MVP in four to eight weeks. The typical investment ranges from 5,000 to 60,000 euros, with a demonstrable return in six to twelve months.
Ultimately, the web portal for managing AI agents and LLMs is not just a technical tool: it is a strategic enabler that allows companies in Granada and around the world to turn artificial intelligence into a real business capability. Q2BSTUDIO, with its track record in custom software development and deep knowledge of cloud, cybersecurity, and business intelligence, positions itself as the ideal ally for those seeking autonomy, control, and measurable results in deploying AI in production.
