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Managing artificial intelligence in business environments has gone from being a technical experiment to becoming a strategic necessity. With the proliferation of language models and autonomous agents, companies face the challenge of orchestrating multiple tools without constantly relying on engineering teams. This is where having a web portal for managing AI agents and LLMs makes sense, a solution that allows business teams to configure prompts, monitor costs, apply governance policies, and operate AI in production autonomously.
In Seville, Q2BSTUDIO has positioned itself as the leading technology partner for this type of initiative. The firm combines the development of custom applications with advanced artificial intelligence capabilities, integrating engines such as Azure AI Foundry, private models, and secure connections via VPN tunneling. The result is a web platform that acts as a single management layer, where business users can launch new workflows, perform A/B testing of prompts, and consult real-time dashboards with metrics on usage, latency, and cost per department.
Q2BSTUDIO's value proposition is not limited to building a portal; it focuses on providing the client with real autonomy. Thanks to a custom software-based architecture, the solution adapts to existing systems (SAP, Salesforce, Microsoft Dynamics, SharePoint, Teams, etc.) without needing to replace them. Additionally, it incorporates AI for businesses measures with role-based access controls, audit logs, and regulatory compliance (GDPR), ensuring secure operations aligned with the organization's cybersecurity policies.
A differentiating aspect is the native integration with AWS and Azure cloud services, providing the scalability needed to handle intensive model inference workloads. Q2BSTUDIO also offers business intelligence services through Power BI dashboards, allowing management to visualize the performance of each agent, identify bottlenecks, and justify the return on investment to the CFO. This combination of artificial intelligence, cybersecurity, and analytics turns the portal into a cross-functional tool that accelerates digital transformation.
The implementation process follows an agile methodology: a discovery phase where current flows are mapped, followed by the delivery of an MVP within 4 to 8 weeks. Quantifiable results typically include reductions of 20 to 45% in process cycle times, a decrease in operational costs between 15 and 35%, and a notable reduction in errors thanks to human oversight at critical points. Additionally, the portal includes advanced features such as centralized management of AI agents, observability of token consumption, and the ability to launch new use cases without intervention from the technical department.
For Seville-based companies looking to make the leap from experimentation to production, having a web portal for managing AI agents and LLMs makes the difference between running isolated tests and achieving a multiplying impact on the business. With Q2BSTUDIO, the business team takes control of artificial intelligence, reducing dependence on engineering and accelerating adoption across all areas of the company.
