Artificial Intelligence (AI) is redefining corporate governance practices very quickly, enabling greater accuracy, agility and security in the management of companies of all segments and sizes. It does not replace leadership, but has been a tool with great capacity to improve board and executive decisions, making them more efficient, transparent and informed.
The different tools available are able to provide better predictive and scenario analysis. In order to anticipate risks and identify opportunities, algorithms analyze market trends, consumer behavior and internal data. Corporate indicators, which serve as a way to monitor performance, can be monitored in real time, alerting advice and leaders in an agile way about possible deviations or adjustment needs.
AI has great speed in data processing, being able to detect anomalies, nonconformities, frauds and unethical conduct Machine Learning (Machine Learning) monitors financial transactions, contracts and business interactions in real time. Legislative documents and updates are aligned with current legal standards through specialized systems that increase legal certainty.
Repetitive and bureaucratic tasks can be automated, making the time of professionals and members of the boards of directors better used. An example of this is the possibility of document automation, with accurate and consistent generation and adaptation of contracts, minutes and other legal documents based on internal models and standards.
When used from an ethical and responsible perspective, the benefits of AI are immense, but it is important that boards and leaders are able to create one framework robust governance in the area with the intention of mitigating risks. It is essential to ensure, through regular audits, that algorithms are fair and do not perpetuate historical biases. All decisions must be easily understandable and auditable.
It is essential that the adoption of strict cybersecurity protocols occurs and that confidentiality in the use of internal data is guaranteed, being in compliance with the LGPD (General Data Protection Law). And perhaps most importantly: the guidelines for implementing AI should always be clearly aligned with the strategy, values and risk appetite of the company. If this is achieved, the results are guaranteed and reliability maintained and expanded. It is worth the investment!
