Artificial intelligence (AI) is consolidating as an essential tool for transforming complex business processes. More than a technological trend, multifunctional AI is reshaping strategic sectors such as logistics, planning, and decision-making. With advanced algorithms and machine learning, companies are reducing costs, optimizing operations, and enhancing competitiveness in the global market.
Multifunctional artificial intelligence (AI) is not just a technological innovation but a true revolution in the way companies operate and make strategic decisions. In an increasingly complex and dynamic corporate environment, AI emerges as an essential pillar for process optimization.
Companies that adopt multifunctional AI solutions achieve significant gains in data-driven decision-making. According to Samir Karam, COO of Performa_IT, the technology should not be seen as a trend but as a current necessity:
“AI is no longer a future bet. It is the competitive edge of today. We see artificial intelligence as the central gear of a more predictive, adaptive, and fundamentally smarter operational model.”
Strategic Planning Driven by AI
Artificial intelligence (AI) is not just an automation tool, but a technology that is reshaping strategic business planning in a profound and innovative way. In the past, business decisions were made based on manual analysis and less accurate forecasts. Today, AI software collects and interprets data on a large scale, generating detailed insights about competition, market, and economic trends.
In strategic planning, AI transforms how companies analyze market scenarios and make decisions. Previously, forecasts were made based on static projections, today, predictive models powered by machine learning can identify hidden patterns, predict risks more accurately, and propose corrective actions even before problems occur.
Companies from all sectors are incorporating AI into their strategic planning to ensure competitive advantages in an increasingly dynamic global market:
“In strategic planning, AI brings prescriptive analyses that replace guesswork with robust simulations, anticipating scenarios and mitigating risks accurately“, illustrates Samir Karam, COO of Performa_IT.
Predictive Analysis: the end of decisions based on intuition
Historically, strategic planning was based on conventional market studies and decisions made based on executives’ experience. Although this approach has worked for decades, it has always carried a considerable level of uncertainty.
Today, AI is transforming this reality with advanced predictive analytics, allowing for more accurate predictions of future scenarios. Machine learning models analyze historical patterns, combine external and internal data, and identify variations in consumer behavior, economic performance, and market fluctuations.
“Predictive analysis allows companies to replace intuition with concrete data, anticipating scenarios and adjusting strategies precisely. With AI, decisions shift from reactive to proactive, ensuring greater competitiveness.”
Companies using AI for strategic forecasts can:
- Anticipate market demands, adjusting production and distribution more efficiently.
- Identify competitive threats before they impact, enabling preventive actions.
- Map growth opportunities, guiding expansions and investments more securely.
Resource optimization and cost reduction
In addition to scenario prediction, AI is essential for optimizing resource utilization. One of the main challenges for large corporations is allocating capital, labor, and infrastructure correctly to achieve their strategic objectives.
Intelligent systems can suggest more efficient financial resource allocations, predict areas needing more investment, and modify processes instantly. This means that companies can reduce costs without compromising productivity, ensuring better performance with less waste.
“Artificial intelligence allows companies to make a more efficient allocation of resources, reducing waste and maximizing productivity. With AI, we can adjust operations in real-time, ensuring reduced costs without compromising performance,” explains Samir Karam.
A practical example of this application is the use of AI in supply chain management. Algorithms analyze variables such as seasonal demand, transport logistics, and input availability, adjusting purchases and stocks in an automated way.
According to the COO of Performa_IT, digital retail and supply chain stand out in adopting AI due to the high volatility of the sector. “Sectors with high complexity and time sensitivity have realized that AI is not just ‘nice to have’ – it’s a matter of survival. These segments deal with constant demand fluctuations, tight deadlines, and logistical challenges that require quick and precise responses. They lead the adoption because they have seen faster results.”
“Artificial intelligence allows companies to make a more efficient allocation of resources, reducing waste and maximizing productivity” – Samir Karam, COO of Performa_IT.
Smart and adaptable decision-making
Traditional strategic planning is based on fixed cycles and long-term projections. However, the global economy operates in real-time, requiring quick and adaptable decisions.
With AI, companies are implementing decision support systems that continuously process data and adjust strategies as new information emerges. This approach ensures that managers can:
- React quickly to economic and social changes.
- Adjust investments according to real-time financial returns.
- Redefine strategic objectives based on continuous insights.
These systems are used by corporations that need to react quickly to market variations, economic crises, and regulatory changes.
“With artificial intelligence, decisions are no longer static but become dynamic. AI analyzes data in real-time, continuously adjusts strategies, and enables companies to make more agile and assertive decisions in a volatile market,” highlights Samir Karam.
How AI is impacting companies
The Performa_IT – a full-service provider company of technological solutions, a reference in digital transformation and artificial intelligence – has been leading innovative initiatives in the application of AI in different sectors, helping companies overcome challenges and extract strategic value from the technology. One of the success stories involves a major client in the agribusiness retail sector, where two AI solutions were integrated to increase sales performance.
“We have created a recommendation engine capable of suggesting complementary products based on behavioral patterns and seasonality, along with a generative AI to tailor the commercial language to each customer’s profile. The result was a significant increase in cross-selling and commercial team efficiency.” explains Karam.
The impact of AI goes beyond process automation. It also requires structural and cultural changes within organizations. According to the Performa_IT executive, the biggest challenges faced by companies when adopting AI are not technical but organizational:
“Many companies want the results of AI but are not prepared for the organizational transformation it requires. Without structured data and a clear vision, implementation can become problematic.”
To address these challenges, Performa_IT has developed an implementation model based on strategy and rapid validation, as Samir Karam explains:
“Our methodology combines customer-centered design and agile principles. We start with the question: ‘Do you know which business decision you want to improve with AI?’ From there, we structure rapid proofs of concept, validated with users and stakeholders, and demonstrate real impact on the company’s metrics.”
AI Strategy: Performa_IT’s Approach for Companies
For companies looking to implement AI strategically and sustainably, Performa_IT has developed this specialized service: AI Strategy. Samir Karam explains:
“We are obsessive about applicability – meaning it’s not enough to talk about innovation, it needs to work in practice. While many talk about artificial intelligence as a ‘buzzword’ – that fashionable term used superficially – our concrete cases show real ROI (Return on Investment). Our strength lies in combining strategy, agility, and AI with a 100% focus on business results”
The approach is based on four essential pillars:
- Vision – Clear definition of the strategic impact of AI on the business.
- Ideation – Collaborative sessions to explore custom applications.
- Risk analysis – Consideration of governance, algorithmic bias, and security.
- Consolidation – Building proofs of concept and an implementation roadmap.
“We use the concept of ‘Lean AI’: start small, fast, and value-driven. We don’t sell algorithms; we deliver result levers. Our approach is modular, focused on identifying which decision needs to be smarter – and applying AI there.” concludes Karam.
The risk of not adopting AI: companies can become outdated
Companies that have not yet applied AI in their strategic processes are at risk of losing efficiency, innovation, and competitive advantage. In an increasingly data and automation-driven market, relying solely on traditional processes can lead to inaccurate decisions and missed opportunities.
“Not investing in AI today means being unprepared for the future. The corporate world will be increasingly guided by artificial intelligence, and companies that do not adapt run the risk of becoming obsolete.” Warns Samir Karam.
With AI taking a central role in business transformation, its adoption is no longer a matter of innovation – it is a strategic necessity to ensure sustainable growth and competitive advantage in the long term.
The implementation of artificial intelligence requires robust infrastructure, professional training, and a solid strategic planning. Companies that do not invest in training and adaptation may face difficulties in integrating this technology.
Walking towards ‘the future today’: the evolution of AI in business
The advancement of multifunctional AI is just beginning. The new frontiers of technology include generative AI for knowledge automation, strategic co-pilots for managers, and autonomous agents capable of performing end-to-end tasks without human intervention.
“The convergence of intelligent agents, contextual data, and full automation will create true ‘decision machines’ within companies. We are investing in this area and integrating AI into BI and CRM platforms to enhance strategic applications.” states Karam.
As technology evolves, it is expected that more accessible and efficient solutions will be developed, democratizing the use of AI in companies of all sizes in Brazil. Despite this progress, the implementation of artificial intelligence in the country still faces structural challenges that hinder its expansion, making it essential to overcome these barriers to ensure sustainable and effective adoption.
“While international markets already have structured data lakes—repositories that store large volumes of raw data, allowing for deeper strategic analysis—many Brazilian companies still deal with information silos, where data is fragmented across different areas and does not communicate efficiently. This lack of integration hampers the implementation of artificial intelligence on a large scale. This is the barrier we need to overcome to scale AI sustainably.”
The current scenario suggests that multifunctional AI will not only be a competitive advantage but a decisive factor for the sustainability and growth of companies in the 21st century.
