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The adoption of artificial intelligence in companies has grown rapidly, but many organizations still face significant barriers to integrating language models and AI agents into their daily workflows. The lack of specialized technical profiles and the complexity of managing costs, permissions, and prompt versions turn AI into an operational challenge. To solve this, more and more companies are turning to custom applications that act as a centralized management layer, allowing business teams to operate AI without constantly relying on the engineering department.
In this context, Q2BSTUDIO has developed web portals specifically designed to administer AI agents and large language models. These platforms offer a unified panel to configure prompts, monitor token consumption by department, establish role-based access controls, and maintain complete audit logs. They are custom software that combines artificial intelligence with a web interface that grants real autonomy to the business user. Q2BSTUDIO's proposal stands out for integrating AWS and Azure cloud services (such as Azure AI Foundry) and for guaranteeing cybersecurity through VPN tunneling and private endpoints, something critical when models must interact with on-premise systems.
The implementation process begins with a discovery phase in which current flows, technological dependencies, and baseline KPIs are mapped. From there, Q2BSTUDIO delivers a minimum viable product within four to eight weeks, integrating the tools already existing in the company —from ERPs like SAP or Odoo to collaboration platforms like SharePoint or Teams—. The solution also includes business intelligence service dashboards that allow visualizing the performance of each AI agent, and is compatible with Power BI so that leaders can make data-driven decisions in real time.
The results typically obtained are compelling: a reduction of between 20% and 45% in target flow processing times, a decrease of 15% to 35% in operational costs, and a significant drop in repetitive manual work. Additionally, by centralizing AI administration, tickets to the engineering team are reduced by 35% to 50%. To justify the investment to management, Q2BSTUDIO prepares a documented business case with indicators, return timelines, and a risk matrix before starting development.
If your company is looking for a solution that turns AI into a self-manageable business capability, without replacing your current systems, the AI for business offered by Q2BSTUDIO can be the starting point. Furthermore, the company's experience in AWS and Azure cloud services ensures a secure and scalable integration. Contact Q2BSTUDIO for a free 30-minute discovery session and find out how a custom web portal can transform the management of your AI agents and LLMs in Málaga.
