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In 2026, the management of artificial intelligence in business environments has evolved towards platforms that combine AI for businesses with custom web portals that grant autonomy to business teams. Far from constantly depending on the engineering department, users can configure prompts, monitor costs, and control the governance of AI agents from a single interface. This transformation is key to scaling the adoption of AI agents and large language models (LLMs) in production, ensuring security and traceability.
Q2BSTUDIO, based in Bilbao, designs cloud services aws and azure as part of its architecture, integrating Azure AI Foundry, secure connectivity via VPN tunneling, and private LLM deployments. The result is a web portal that centralizes prompt configuration, real-time observability of token usage, costs per agent and department, and role-based access control. All under strict cybersecurity policies and regulatory compliance such as GDPR.
This approach allows companies to obtain quantifiable benefits: a reduction of between 20 and 45% in process cycle times, a decrease in operational costs of up to 35%, and a notable reduction in repetitive manual work. Additionally, visibility for management improves thanks to unified dashboards that integrate power bi and other business intelligence services. The combination of custom applications and custom software with advanced artificial intelligence turns AI into a real business capability, not an isolated engineering project.
For executives and IT managers evaluating vendors, Q2BSTUDIO's proposal includes a discovery phase that maps current flows, KPIs, and dependencies, with MVP deliveries in 4 to 8 weeks. Integrations with existing systems such as SAP, Salesforce, or SharePoint are carried out without replacements, and the resulting portal allows business teams to manage AI autonomously, reducing the ticket load on the technical department. Thus, artificial intelligence becomes a strategic enabler, backed by a professional and secure management platform.
