Where to start implementing AI in companies?

With the use of digital technologies increasingly widespread, the adoption of Artificial Intelligence (AI) by companies goes from trend to strategic need. According to Mauricio Frizzarin, founder and CEO of the QYON Technology ERICA specialized in the development of management software with Artificial Intelligence & AI highlights that small, medium and large companies now have the opportunity to transform their internal processes, with concrete gains in efficiency, cost reduction and quality in decision making.

Recent data show that the adoption of AI in Brazilian companies grew significantly 5 mainly in the industrial sector, but with impacts that extend 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 has grown by 163%, from 16.9% to 41.9% in the period. In addition, among companies that have declared to adopt advanced technologies, AI already appears as one of the most relevant, although others, such as cloud computing and Internet use, maintain broad.

According to a 2025 study conducted by KPMG Brazil, 86% of national companies claim to use AI in some way in their corporate processes. However, the same study reveals that trust in decisions made by AI is still a challenge: only 55% of respondents declare to feel comfortable with decision making based on AI. Another recent survey points out that only 17% of Brazilian companies consider their internal data fully accessible and suitable for use in AI, evidencing that data governance and information quality remain concrete barriers to the more mature adoption of technology.

On the global stage, research such as the 2025 McKinsey & Company consultancy indicates that many companies already use AI in multiple functions (from marketing and sales, corporate finance to R&D (THOUGH few have scaled these projects broadly. Among organizations reporting impact, 39% say that AI already contributes to earnings before interest and taxes (EBIT), although often modestly.

Frizzarin lists six essential steps for entrepreneurs and entrepreneurs who want to strategically adopt AI based on evidence and best practices: AI

Mapping internal processes and identifying clear bottlenecks: before any investment, it is essential to diagnose which areas consume the most time and resources (accounting, financial control, attendance, administrative management, inventory, etc. AI should be applied where there is opportunity for real and measurable impact.

Assure 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 fully usable data for AI. This demonstrates that many enterprises still need to structure their database before moving forward.

Define clear objectives and success metrics: how to set goals such as increased efficiency, reduced rework, automation of accounting/financial tasks, improved cash predictability, more accurate reporting, or decision support. With clear objectives, it becomes possible to evaluate the return on investment in AI.

Select appropriate tools and compatible with the size of the company: there are affordable and modular AI solutions for accounting automation, financial analysis, forecasting, chatbots for service and decision support systems. For small and medium-sized companies, the ideal is to start with tools of lower complexity and cost, but with the possibility of scalability as the company grows.

Empowering teams and fostering a data-driven culture of innovation: training and adapting people are as important as technology. According to recent research, many companies in Brazil already invest in AI training, especially medium and large ones. Ensuring that employees understand the benefits, know how to use the tools correctly and interpret the data generated is critical to successful implementation.

Monitor results, adjust and evolve continuously: the adoption of AI is not a single event, but a continuous process. It is necessary to track metrics, measure gains (efficiency, economy, agility, accuracy), and refine the use of technology and scale its application to new areas of the company as the business maturity.

“It is worth investing in AI in several functions, ranging from marketing to administrative management, finance and accounting, given the versatility of technology, which is feasible even for smaller companies, which 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 time of accelerated digital transformation, companies that adopt AI obtain advantages in automation, process accuracy and decision making, decisive factors for competitiveness and sustainability in the long term”, mauricio Frizzarin, CEO of QYON Technology.