November 2025

Digital transformation requires companies not only to adopt technology but to do so strategically. Process optimization and automation with AI and RPA enables greater efficiency, cost reduction, and improved customer and employee experiences. However, implementing these solutions in isolation or without a deep analysis can result in inefficient investments, redundant processes, or operational risks. Therefore, […]

Artificial intelligence has become a strategic tool for companies and technology consultancies. From process automation to advanced analytics, AI enables organizations to optimize decision-making, reduce costs, and improve the experience of both customers and employees. However, adopting AI without clear criteria can lead to legal, ethical, and reputational risks. That’s why accountability and transparency in

In the B2B world, speed and efficiency in lead management are key to turning opportunities into sales. However, many companies still face bottlenecks: leads come in through web forms, LinkedIn Ads campaigns, or internal referrals, and the sales team must manually filter, qualify, and assign them. This approach not only delays attention to valuable contacts

In today’s landscape, where artificial intelligence is becoming a strategic business asset, a key challenge emerges: how to make AI models connect smoothly, securely, and efficiently with a company’s data, systems, and processes. This is where the standard known as MCP (Model Context Protocol) comes into play. In this article, we explore what it is,