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In today's corporate environment, the efficient management of internal policies and the confirmation of their receipt (acknowledgment) have become a critical challenge for companies seeking to comply with regulations such as GDPR and maintain smooth communication. A modern intranet not only centralizes documentation but also automates the flow of notifications, reading tracking, and evidence storage. To achieve this, more and more organizations are turning to custom applications that integrate with their existing systems, avoiding costly replacements.
Q2BSTUDIO has developed success cases in Seville during 2026, implementing corporate intranets with policy and acknowledgment of receipt functionalities. These solutions combine AI for businesses with process automation, achieving up to a 45% reduction in repetitive manual work and accelerating approval cycles by 32%. The key lies in a phased approach: first, a deep discovery of current workflows, then an MVP in less than 8 weeks, and finally a controlled deployment with continuous optimizations.
The technology used includes custom software with personalized interfaces, integration with ERPs such as SAP or Odoo, and workflow orchestration via n8n. Additionally, AI agents are incorporated to assist in semantic search of policies and document validation, all under strict cybersecurity controls. The infrastructure relies on AWS and Azure cloud services with VPN tunnels and private endpoints to ensure data confidentiality.
A differentiating aspect is the use of business intelligence services such as Power BI to offer executive dashboards that show real-time status of acceptances, compliance rates, and bottlenecks. This visibility allows management to make informed decisions without relying on spreadsheets.
According to 2026 studies, 76% of SMEs already use AI tools, but only 14% have integrated them into core processes. The lack of specialized knowledge remains the main barrier. Q2BSTUDIO bridges this gap by offering a self-managed web portal where business teams can configure prompts, monitor costs, and operate AI flows without the need for constant engineering. Thus, companies in Seville can replicate these results in less than 12 weeks, with a demonstrable return on investment from the first quarter.
