The New Normal: AI and Automation

Artificial intelligence is rapidly evolving and reshaping business structures. AI tools share a common goal: saving time and effort in repetitive and predictable activities. In the corporate world, this innovation can represent a real turning point for resource savings and better workforce allocation. In a recent LinkedIn poll conducted by Liax Tech, 54% of participants said they primarily use AI for task automation, while 38% highlighted its use in strategic decision-making.

AI tools are applied across various areas, from customer service to inventory management. Chatbots are one of the most visible applications of artificial intelligence, providing 24/7 support without the need for human intervention.

In an increasingly competitive business environment, integrating artificial intelligence into services can drive growth, increase agility, and deliver more efficient results.

1. Task Automation

2. Enhanced efficiency

3. Increased productivity

4. Reduction in human error

5. Personalized experiences

6. Large-scale data analysis

7. Improved decision-making

8. Enhanced security

Companies that adopt these technologies can increase operational efficiency, improve customer experience, and adapt more quickly to market demands. However, this also requires workforce reskilling and a new approach to talent management, as traditional roles evolve or disappear.

A frequent concern among workers is which jobs will be affected or even replaced by AI. According to research by the International Labour Organization, only 2 to 5% of jobs are at risk of being replaced by AI. Some more operational roles may be replaced, such as retail cashiers, customer service, translation, manufacturing and assembly line work, and even basic design.

However, the same research points out that new roles are also expected to emerge. PwC predicts that 2.7 million jobs could be created by 2037 due to AI.

Implementing this technology brings ethical and social challenges that must be considered. Since AI works with data reading, it is essential that regulations are created and followed to protect such data. The massive collection of data requires special attention to privacy and security. For this reason, companies must ensure transparency in the use of personal information and comply with national regulations. In Brazil, the current regulation is the General Data Protection Law (LGPD), which establishes criteria and conditions for data processing to safeguard individuals.

Artificial Intelligence in Decision-Making

AI can analyze data in various formats and navigate from simple algorithms to complex networks to process information and generate efficient responses to specific organizational issues. In business decision-making, artificial intelligence has assumed an important role, enhancing this process through:

• Improved responses

• Faster decisions

• More efficient processes

• Risk assessment

• AI-based insights

The challenges in using this technology for decision-making include the dependency on reliable, high-quality data to produce genuinely useful and accurate responses. Another challenge lies in the use of complex algorithms, which influence important business decisions. Since these algorithms do not always understand context or subjective factors, human intervention may still be needed. Additionally, their complexity can affect confidence in the system due to the lack of interpretability.

When considering the use of technology in daily operations, companies incorporate AI in several use cases, such as:

• Predictive analysis

• Fraud detection and prevention

• Natural Language Processing (NLP)

• Decision support systems

Success Cases with AI

Lello Condomínios and Liax Tech — Transforming Management with Artificial Intelligence

Lello Condomínios, one of the largest property management companies in Brazil, faced a significant challenge with its document-reading system, which couldn’t process new formats and unstructured fields without manual intervention. To solve this issue, Liax Tech implemented LiaDox, an AI-based automation solution that enables intelligent reading of unstructured documents. The technology was integrated into Lello's systems, streamlining reports and providing more reliable data for decision-making.

The adoption of LiaDox brought significant benefits to Lello:

• Up to 80% reduction in operational time

• Faster processes with fewer errors

• Teams focused on strategic decisions

Healthcare Giant and Liax Tech — Innovating and Modernizing with Artificial Intelligence

One of the largest healthcare groups in Latin America began its migration to a new cloud solution. Despite having a robust ERP, the company faced obstacles in data integration and adapting reports to the new structure. As a solution, Liax Tech carried out the integration between legacy systems and the new ERP, as well as adapted financial and operational reports, ensuring process continuity without interruptions.

The implementation by Liax brought the following benefits:

• Reliable and accessible data

• Reduced rework

• More agile and strategic decisions

Artificial intelligence is reshaping the corporate landscape by offering solutions that streamline operational tasks and enhance strategic decision-making. Its application goes beyond automation, driving efficiency, innovation, and business competitiveness. However, its adoption demands responsibility, continuous upskilling, and human oversight capable of interpreting data with ethics and sensitivity. As technology continues to evolve, organizations must balance AI usage with a people-centered vision, ensuring the benefits are widely shared and sustainable.