This work opens an avenue for organizations to immediately understand why their employees want to leave for other opportunities in the job market and act in time, taking precise internal measures to avoid losing talented personnel that consumed substantial investments in training. Data were collected from two well-known websites over nine months, gathering a sample of 1,307 employee reviews of companies. The reviews refer to ten of the largest global organizations, often cited in recent articles as companies with outstanding organizational agility. One by one, the sample reviews were submitted to artificial intelligence (AI) algorithm that conducted a sentiment analysis. This procedure offered a ranking of organizations based on how happy employees work there, overriding other negative feelings, such as fear, sadness, and anger. The analysis results showed that Google was the place where people feel happiest. Other dimensions were identified and inspired reflections, such as the employees’ joy of belonging when comparing the current and former employees and the dimension of the best country to work in when the employer is a global organization. The study allowed us to infer which career position workers are more likely (positive sentiment) or less likely (negative sentiment) to commit to the organization. We believe that AI will emerge as an important tool in structuring organizational agility, allowing the concept of a great workplace to be developed and assessed in real-time. This research is aligned with studies that recognize the organization as a living organism where people are the main actors. We understand and hope that organizational processes will be revisited and will consider this new avenue, in due course, paving the way for the integration of external variables, such as emotions, to support human resources internal measures aimed at reversing low engagement and loss of talents.