Transform Critical Sectors with AI and Platformless Architecture

Opportunities with Artificial Intelligence and Platformless

In 2026, critical sectors such as finance, healthcare, education, and public sector face the need to integrate Artificial Intelligence (AI) in a controlled manner and in compliance with regulations. This challenge arises from the coexistence of decentralized systems and legacy architectures that struggle to keep pace with innovations.

The convergence between AI and platformless architectures emerges as an essential solution to transform rigid structures into more flexible and adaptable digital ecosystems.

Adoption of AI and Its Impact

The increase in AI adoption is evident. Data from Gartner indicates that by 2026, over 80% of companies will be using AI solutions, a significant growth compared to less than 5% at the beginning of 2023. This shift reveals the need for architectural environments that ensure integration and governance of AI.

Platformless architectures break away from reliance on closed platforms, prioritizing systems based on APIs (Application Programming Interfaces) and adaptable components. This allows different systems to interact and evolve together, fostering continuous innovation.

Advantages of the Platformless Model

This model reduces excessive coupling, creating more resilient foundations to respond to new business demands and regulatory requirements, without the need for complex restructuring with every change in scenario.

For example, in financial institutions, the platformless architecture facilitates the enhancement of digital channels and analytical models, thus protecting the essential systems that support operations.

Interoperability in the Public Sector

In the public sector, this model promotes interoperability between agencies, the reuse of services and data, as well as the creation of digital experiences focused on the citizen and responsible automation.

AI as a Decision-Making Engine

Artificial Intelligence transforms data into practical decisions. Integrated into the platformless model, AI becomes part of the operational flow, improving diagnostics in healthcare and personalizing learning in education, for example.

In the financial sector, the automation of processes such as fraud prevention and customer service advances securely, supported by a flexible architecture.

Challenges and the Need for a Change in Mindset

The transformation requires a mindset change among technology leaders, who must begin to act as architects of digital ecosystems. This new approach involves security and governance in distributed environments.

The advancement of AI brings to light issues of data control and regulatory compliance, making the evolution of operations a strategic decision.

Future Perspectives

By 2028, it is predicted that 40% of leading companies will adopt hybrid architectures in critical flows. This suggests that the true competitive advantage will lie in the ability to build architectural foundations that support intelligent decisions over time.

Therefore, the integration of AI into platformless architectures will be crucial for enabling continuous evolution, aligned with new demands and future regulatory changes.