Artificial Intelligence (AI) is revolutionizing the way companies operate and define their paths worldwide. Its ability to process large volumes of data quickly and identify complex patterns makes it a powerful tool for detecting operational and governance deficiencies, making organizations more efficient, competitive and resilient
By leveraging the capabilities of AI, companies can make smarter decisions, reduce risks and improve your results. The application of this technology in multiple areas not only improves the efficiency and effectiveness of operations, but also strengthens governance by providing a more accurate and real-time view of the company's state, allowing a quick response to potential issues
Meanwhile, take AI out of theory and put it into practice, associated with other methods and technologies in favor of efficiency, demand strategy and knowledge. When we talk about optimization in the operational area, there are numerous processes and two clear paths: the first is that of pure and simple automation, through Robotic Process Automation (RPA) tools, in the English acronym – technology that uses software robots to automate repetitive and manual tasks, carried out by humans in business systems
The other path deals with the identification of processes and whether best practices are actually being adopted. All this mapping and questioning within a market benchmark is very important, and in this action AI can assist considerably, pointing in a predictive manner which steps are optimized and which are those that do not generate the appropriate value, comparing with companies in the same sector, preventing failures and suggesting improvements around bottlenecks and workflows
The positive impact of combating operational deficiencies with AI also involves automating repetitive tasks (AI frees professionals to focus on activities that require more creativity and analysis) and reducing errors (task automation reduces the possibility of human errors, increasing the accuracy of processes. Add to this real-time analyses around frauds, risk management, and sentiment analysis
Nothing like practical examples to illustrate what we are dealing with here. In the industry, AI can positively impact the functioning of all machinery, analyzing sensor data and indicating preventive maintenance, avoiding the paralysis of activities. For banks and insurance companies, behavior patterns can assist in identifying fraud in financial and compensation requests
Furthermore, AI can significantly contribute to the automation of client projects, standardizing interpretations according to the established parameters, bringing more personalized results, with greater efficiency, cost reduction and satisfaction
We can conclude, in this way, the more automated the process of a company, the lower the impact of operational deficiency. This is because automation is capable of catching the error and reprocessing, in what would be an ideal scenario. If the volume of rework is not significant or the time for it is short, we have an acceptable deficiency, however, it is important to assess the maturity level of each organization
In this same sense, it is worth noting that AI or technology does not have the power to question and criticize. The machine learns what is taught to it, but there are situations that involve bias or ethics alongside algorithms, and it is there that the human factor becomes fundamental. It is always necessary to have someone capable of looking, redirect and provide feedback for technology tools, therefore constant training and capacity building cannot be minimized
From the factory floor to the IT departments, operational efficiency with AI and machine learning, to cite just two possible technologies, it is essential in a highly competitive environment and increasingly demanding customers for personalized deliveries. With better decision making, more efficiency and optimized costs, we have an integral ecosystem close to the highest returns sought by any business. But, to achieve this result, understand the processes, to measure, automating and having a structured governance in place is essential
