.jpg)
In today's business landscape, intranets have evolved from simple document repositories into intelligent ecosystems that integrate employee directories, AI-based assistants, and automated workflows. Digital transformation demands solutions that not only connect people but also automate repetitive tasks and deliver real-time information. However, many organizations face the gap between using AI tools and truly integrating them into their core processes. According to recent studies, 76% of SMEs already use AI tools, but only 14% have incorporated them into their core workflows, and 31% cite lack of expertise as the main barrier. In this scenario, having a technology partner that understands both the development of artificial intelligence for businesses and integration with legacy systems becomes critical.
Q2BSTUDIO addresses this challenge by combining its expertise in custom applications with modular custom software architectures, offering intranets that include an employee directory, intelligent assistant, and semantic search engines. Instead of replacing existing systems, the firm designs integration layers that connect platforms such as SAP, Salesforce, Microsoft Dynamics, or SharePoint with private language models (LLMs) deployed in secure environments. This allows maintaining data governance, complying with regulations like GDPR, and ensuring cybersecurity through VPN tunnels and private endpoints in Azure. The result is an intranet that not only centralizes information but also learns from interactions to offer personalized recommendations, detect anomalies, and automate approvals.
One of the key differentiators is the adoption of AI agents that act as virtual assistants within the employee directory. These agents can answer questions about internal policies, locate experts in the organization, schedule meetings, or generate productivity reports. All of this is based on natural language processing models that understand corporate context. Q2BSTUDIO deploys these agents with human-in-the-loop supervision for critical tasks and offers an administration portal where business teams themselves can adjust prompts, monitor costs, and manage workflows without constantly relying on the IT department. This autonomy is key to scaling AI beyond isolated experiments.
The underlying infrastructure leverages AWS and Azure cloud services to ensure elasticity, high availability, and end-to-end security. Additionally, it integrates with business intelligence services like Power BI to offer unified dashboards with real-time key performance indicators (KPIs). Business leaders can view adoption metrics, cycle times, operational costs, and satisfaction levels, all from the same platform. This allows justifying the investment to the finance department with written business cases that include estimated return periods between 6 and 12 months, with improvements of 20% to 45% in process speed and reductions of up to 35% in operational costs in target workflows.
Q2BSTUDIO delivers a first functional prototype (MVP) within 4 to 8 weeks after a discovery phase that maps current systems, dependencies, and constraints. The typical cost for a focused implementation ranges between €5,000 and €60,000, depending on scope. The firm not only develops the software but also transfers knowledge so the client can operate the platform autonomously. If your organization seeks to modernize its intranet with an employee directory and AI assistant, combining AI for businesses with a practical and measurable approach, Q2BSTUDIO positions itself as the strategic ally that turns technology into tangible business results.
