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The evolution of internal digital platforms has turned the intranet with an internal marketplace into a strategic pillar for companies seeking to centralize communication, collaboration, and automation. By running in cloud environments, these solutions gain scalability, security, and operational flexibility. However, achieving real integration with legacy systems and existing workflows requires a deep and customized technical approach. That is where the development of custom applications makes the difference, as it allows designing exact functionalities for each organization, from internal service catalogs to interdepartmental resource markets.
An internal marketplace is not just a directory: it is an ecosystem where employees can request services, exchange knowledge, acquire licenses, or even book physical spaces. For it to work natively in the cloud, it is essential to have AWS and Azure cloud services that guarantee high availability, auto-scaling, and regulatory compliance. Q2BSTUDIO designs the cloud architecture aligning cost, performance, and security, supporting hybrid scenarios when the company maintains on-premise systems. Cybersecurity becomes a critical factor: every transaction, every AI-powered search, every interaction with sensitive data must be protected through VPN tunnels, private endpoints, and role-based access policies.
Artificial intelligence for enterprises transforms the internal marketplace experience. Recommendation engines, virtual assistants, and AI agents capable of performing routine tasks without human intervention boost productivity. Q2BSTUDIO integrates AI capabilities such as RAG, Azure AI Foundry, and private models, allowing the business team itself to manage prompts and monitor costs from an autonomous web portal. Additionally, the connection with business intelligence services like Power BI offers unified dashboards that display KPIs in real time, reducing gaps between departments and accelerating decision-making.
To make the investment profitable in less than a year, Q2BSTUDIO delivers an MVP in 4 to 8 weeks, starting with a discovery phase where current flows, dependencies, and constraints are mapped. The result is cycles up to 45% faster, operational cost reductions from 15% to 35%, and a significant decrease in repetitive manual work. The custom software developed integrates with ERPs such as SAP, Odoo, or Dynamics, as well as with SharePoint and Teams, without the need to replace legacy systems.
Companies that already use AI tools but have not incorporated them into core workflows (according to Goldman Sachs, only 14% have achieved this) can make the leap with Q2BSTUDIO. Its approach combines process automation, AI agents, and a robust cloud platform, generating measurable results from the first month. To learn how to apply this architecture to your organization, request a free discovery session with the senior consulting team.
