Beyond the hype, Artificial Intelligence (AI) has already established itself as a technology with a direct impact on business and society. Companies in Brazil and globally are increasingly investing in AI as a response to real challenges and also to strengthen their position in the market.
The global advance in the use of AI is evident. By 2024, 72% of companies will have adopted related technologies, according to McKinsey. This number is significantly higher than the 55% recorded in 2023, demonstrating the speed at which AI-based digital transformation is expanding.
In Brazil, the scenario reflects an intense search for technological adaptation. The Cisco AI Readiness Index points out that 99% of companies recognize the need to adopt AI quickly. Furthermore, 66% believe they have up to a year to adjust their strategies and avoid negative impacts on the market.
The country has also stood out in the development of AI at a global level. The report State of the Octoverse 2024, from GitHub, shows a 55% increase in Brazilian contributions to generative AI projects. The 41% growth in the number of contributors also reinforces Brazil's active participation in the advancement of technology.
The adoption of AI in Brazil is not limited to the corporate environment. According to Oliver Wyman, 57% of the population have already tried tools based on generative AI. This data shows how technology is becoming part of everyday life, influencing everything from consumption habits to educational processes.
Companies focused on B2B solutions, which meet specific demands of other businesses, are increasingly gaining prominence, which shows AI's potential to solve complex problems in a practical way and aligned with market needs.
Operational efficiency in the day-to-day running of companies
AI is now an indispensable resource for companies seeking operational efficiency. Rather than treating the technology as a futuristic concept, many organizations are discovering its practical role in everyday life, especially in tasks that require precision and agility.
The ability to process large volumes of data in real time enables AI solve problems before they even become visible.
In sectors such as logistics and manufacturing, for example, this translates into more controlled operations, with less room for error and waste. This type of application makes it clear that AI is not a generic tool, but a solution that can be adapted to the specific needs of each business.
By standardizing processes that previously depended on human interpretation, AI reduces discrepancies and increases the reliability of operations.
Companies with high employee turnover or facing training bottlenecks find technology to be a way to maintain consistent results. This does not eliminate the human role, but redefines its function, shifting the focus to activities that require more strategic judgment.
the automation speeds up task completion and at the same time, offers relevant support in highly complex environments. Repetitive and voluminous tasks, such as inspections or audits, can now be carried out more quickly, freeing up human resources for more strategic initiatives.
The key question is how to integrate AI in a way that complements, rather than replaces, existing teams.
Smart Response: discover the Group's new initiative Softplan
In the group Softplan, expertise in technology results in the development of tools that simplify processes and impact strategic sectors.
Among these innovations is Smart Response, a new module of Checklist Fácil, group company Softplan, which uses artificial intelligence to automate visual inspections, raising standards of efficiency and reliability.
Resposta Inteligente relies on artificial intelligence to optimize visual inspection processes, reducing subjectivity and human errors common in manual checklists, offering automated and reliable analyses.
To give you an idea, some customers have already reported a 60% reduction in the time required to execute checklists, without compromising the accuracy of the responses.
The functionality stands out for its ability to process images in real time, providing immediate and reliable answers, essential for audits and decisions based on concrete data.
Use cases demonstrate the scope of the application. In occupational safety, the system automates the verification of PPE, machine conditions and compliance with standards such as NR10 and NR9.
In logistics operations, optimizes fleet and container inspections, validates documents and monitors seals. In the industry, it ensures the product quality and traceability by analyzing labels and packaging directly on the production line.
Features such as gallery blocking, digital fencing for geographic validation and automated time recording, mitigating data manipulation risks, are its main advantages.
In addition, the possibility of configuring prompts customized makes the flexible system for different sectors and demands.
The module also allows you to answer multiple questions with a single image, speeding up audit processes. In refrigerators on loan from food and beverage companies (supermarkets), for example, the technology identifies whether there are products from competing brands, a practice known as “invasion”.
Smart Response also checks whether the proportion of products meets the required standard and assesses the cleanliness of the equipment. This makes it possible to reduce errors and standardize inspections, meeting critical market demands with precision. All of this is done automatically and with a high level of precision, ensuring consistent results.
With scalable features and intuitive design, the Smart Response does not require advanced AI knowledge to use. Tests with employees of different education levels proved its operational simplicity.
The solution also operates under strict safety standards, ensuring that data is not stored by the underlying technology, reinforcing the protection of companies' privacy.
The accessibility of the solution reinforces its potential to transform operations and raise efficiency standards, reaffirming the strategic role of artificial intelligence in the business context. The challenge now is deepen this transformation, ensuring that Brazilian companies can make the most of the potential of this technology. After all, We are just beginning to explore the real and measurable impacts of AI in the country.