IT Consulting

The risk of operational interruptions caused by cyberattacks, technological failures, or natural disasters is higher than ever. That’s why designing a Recovery Disaster Plan (RDP) has become a priority for organizations seeking to ensure business continuity in the face of unforeseen events. An RDP is not just a technical document—it is the roadmap that defines […]

In the technical services sector—such as energy facility management or industrial maintenance—speed and accuracy in handling incidents are crucial to ensuring customer satisfaction and maintaining efficient operations. However, many companies still rely on manual processes to record, classify, and assign cases, leading to delays, errors, and a poor experience for the end user. This was

The back office is the silent heart of any company. It is home to administrative processes that are essential to daily operations: payment control, invoicing, contract management, customer tracking, and account reconciliation. The problem is that these tasks are often repetitive, prone to human error, and consume a large amount of resources. This is where

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,

Exporting products to other countries can open up huge growth opportunities. However, it also exposes companies to a regulatory complexity that is difficult to manage. Each destination has its own legal, health, and customs requirements that frequently change, and noncompliance can lead to serious consequences: from fines to the immobilization of goods or even the

Modern industry is undergoing an unprecedented digital transformation. The convergence between Operational Technology (OT) and Information Technology (IT) has placed at the center the need for more agile, standardized, and secure communications between machines, systems, and platforms. In this context, an innovation emerges that promises to redefine how industrial machines communicate: the MCP (Machine Communication

In the world of software development, where projects evolve quickly and staff turnover is increasingly common, knowledge transfer in development teams becomes a crucial factor in ensuring continuity, quality, and efficiency. A poor transfer process can cost weeks of delays, repeated mistakes, and a significant drop in productivity. In this article, we explain what knowledge