With the increasingly widespread use of digital technologies, the adoption of Artificial Intelligence (AI) by companies is shifting from a trend to a strategic necessity. According to Mauricio Frizzarin, founder and CEO of QYON Technology – a US-based company specializing in the development of management software with Artificial Intelligence – he emphasizes that small, medium, and large companies now have the opportunity to transform their internal processes, achieving concrete gains in efficiency, cost reduction, and decision-making quality.
Recent data shows that the adoption of AI in Brazilian companies has grown significantly – primarily in the industrial sector, but with impacts extending to accounting, finance, and corporate management. According to a survey by the Brazilian Institute of Geography and Statistics (IBGE), between 2022 and 2024, the use of AI by industries grew by 163%, increasing from 16.9% to 41.9% during the period. Furthermore, among companies that reported adopting advanced technologies, AI already appears as one of the most relevant, although others, such as cloud computing and the Internet of Things, remain widely used.
According to a 2025 study conducted by KPMG Brazil, 86% of national companies state they use AI in some way in their corporate processes. However, the same study reveals that trust in decisions made by AI remains a challenge: only 55% of respondents declare feeling comfortable with AI-based decision-making. Another recent survey indicates that only 17% of Brazilian companies consider their internal data fully accessible and suitable for use in AI, highlighting that data governance and information quality continue to be concrete barriers to more mature adoption of the technology.
In the global scenario, research such as the 2025 study by consultancy McKinsey & Company indicates that many companies already use AI in multiple functions – from marketing and sales, corporate finance to R&D – although few have scaled these projects broadly. Among organizations reporting impact, 39% say that AI already contributes to earnings before interest and taxes (EBIT), albeit often modestly. On the other hand, a significant portion points to improvements in innovation, customer satisfaction, and competitive differentiation.
Given this scenario, Frizzarin lists six essential steps for entrepreneurs and business owners who wish to adopt AI strategically – based on evidence and best practices:
- Map internal processes and identify clear bottlenecks: before any investment, it is essential to diagnose which areas consume the most time and resources – accounting, financial control, customer service, administrative management, inventory, etc. AI should be applied where there is an opportunity for real and measurable impact.
- Ensure data quality and information governance: the adoption of AI depends on accessible, organized, and reliable data, and according to studies, only 17% of companies have data fully usable for AI. This demonstrates that many enterprises still need to structure their data foundation before advancing.
- Define clear objectives and success metrics: such as establishing goals like increased efficiency, reduction of rework, automation of accounting/financial tasks, improved cash flow predictability, more accurate reports, or decision-making support. With clear objectives, it becomes possible to evaluate the return on investment in AI.
- Select appropriate tools compatible with the company's size: there are accessible and modular AI solutions for accounting automation, financial analysis, forecasting, customer service chatbots, and decision support systems. For small and medium-sized enterprises, the ideal is to start with tools of lower complexity and cost, but with scalability potential as the company grows.
- Train teams and foster a data-driven innovation culture: training and adapting people are aspects as important as the technology. According to recent research, many companies in Brazil already invest in AI training, especially medium and large-sized ones. Ensuring that employees understand the benefits, know how to use the tools correctly, and interpret the generated data is fundamental for implementation success.
- Monitor results, adjust, and continuously evolve: the adoption of AI is not a one-time event, but a continuous process. It is necessary to track metrics, measure gains (efficiency, savings, agility, accuracy), and continually refine the use of the technology – as well as scale its application to new areas of the company as business maturity increases.
“It is worth investing in AI across various functions, ranging from marketing to administrative management, finance, and accounting, given the technology's versatility, which is feasible even for smaller companies that can start with simpler applications and achieve relevant gains. Thus, it becomes possible to prepare the company for leaps in efficiency and competitiveness over time. In a period of accelerated digital transformation, companies that adopt AI gain advantages in automation, process accuracy, and decision-making, factors decisive for long-term competitiveness and sustainability”, concludes Mauricio Frizzarin, CEO of QYON Technology.
