Artificial intelligence has ceased to be an exclusive resource for technology departments and has become a key tool in traditional sectors such as real estate. Companies like AEDAS Homes are revolutionizing their operations, moving away from manual management and repetitive processes that have dominated the industry for years. Jorge Valero, Director of Applications and Data at AEDAS Homes, shared on the podcast 'Stochastic Monkeys' —hosted by Antonio Ortiz and Matías S. Zavia— how the company has integrated AI into its daily operations. From document automation to the creation of an ecosystem of intelligent agents, the transformation has been profound in an organization of 300 employees. Intelligent automation: efficiency and time savings Before the arrival of generative AI, AEDAS Homes was already experimenting with automation, although each type of document required specific, costly, and non-scalable development. The real breakthrough came with the adoption of models like ChatGPT, capable of processing large volumes of technical documentation without prior configurations. “Now we have processes that read and process simple notes, regardless of the format, extracting data and saving thousands of hours for employees,” explains Valero. The impact is tangible: “Last year we delivered 5,000 homes, each with its simple note. Previously, one person had to review everything manually, a tiring task,” he recounts. Today, that work is done automatically, allowing resources to be freed up without increasing the workforce. An ecosystem of intelligent agents The next step was to centralize access to these capabilities. Thus, Max was born, an internal system based on models like Gemini, which acts as a single entry point for employees. The user makes a query, and the system directs it to the appropriate agent among the 15 available, each specialized in tasks such as urban management, invoice processing, or sales analysis. These agents are integrated with the company's critical systems, allowing not only the generation of information but also the execution of concrete actions within the organization. More productivity and better performance The key to success, according to Valero, lies in internal adoption. Of the 300 office employees, 297 actively use AI tools, a result of a strong commitment to training. “We have dedicated dozens of hours to teaching them how to use language models. Now, the work consists of supervision, not just writing,” he points out. Valero also challenges the traditional view of AI and employment: “It’s not about how many employees I can reduce, but how many new tasks we can tackle and how to improve what we already do.” The goal is not to cut the workforce but to increase the capacity and quality of the work performed. Source: elperiodico.com