iPaaS: How to integrate systems, data, and AI in businesses

The information technology market faces a historical and timeless dilemma: the proliferation of information silos and the nightmare of "point-to-point" integrations. While executives demand agility, analytical intelligence, and the immediate adoption of Generative Artificial Intelligence (GenAI), IT teams remain bogged down in operational support and the maintenance of fragile legacy code.

Skycast 01 Sep 2026 6 min read By: Skyone

In a remarkable episode of the Trend Off podcast , hosted by Felipe Wasserman (Marketing Director at Skyone) and with the special participation of Rodney Antonio Repullo (General Director at Magic Software Brazil), the evolution of integration architectures, from cross-platform development to iPaaS solutions and autonomous agents, is redefining corporate IT management, was discussed in detail.

1. The timeless problem of IT: data fragmentation

Historically, the expansion of software in companies has generated a fragmented infrastructure. From robust ERPs (such as SAP B1, TOTVS) to CRMs, e-commerce platforms, and WMSs, each new system introduces an isolated data silo. The result is a routine of intensive manual processes, retyping of information, and operational vulnerability.

During the podcast discussion, Rodney recalled how automation has evolved over the past few decades and stressed that the essence of the challenge remains exactly the same:

"When it comes down to it, behind the scenes, everything comes back to the same situation: we have to work better on integration, we have to work better on the data, which was already the challenge when we were only talking about integration. It's been the challenge for 20 years and we continue to face the same challenge."
— Rodney Repullo, General Manager at Magic Software Brazil

Performing integrations via custom code ("hand-written scripts") without a centralized platform creates what the market calls a "patchwork quilt." If the developer responsible for the code leaves the company, the environment becomes a black box without monitoring, traceability, or governance.

2. The iPaaS and No-Code Revolution in Hyperautomation

To mitigate the complexity of traditional code, iPaaS ( Integration Platform as a Service ) integration platforms and no-code/low-code methodologies have emerged . With pre-built connectors and visual workflow orchestration, the modern model allows for the integration of complex flows without locking the company into individual dependencies.

As highlighted in the conversation, Magic Software, a pioneer in cross-platform and no-code development platforms for over two decades, found the perfect synergy in the Skyone Studio to meet the needs of dynamic and heterogeneous environments.

Key differentiators of the strategic partnership: Magic Software + Skyone Studio

Hybrid architecture: support for both heavy legacy systems without public APIs and modern SaaS applications driven by REST/SOAP APIs.
Centralized monitoring: replacing scattered code with a unified workflow orchestration dashboard.
Embedded AI layer: transforming the passive integration flow into an ecosystem with intelligent agents capable of making contextual decisions.

3. The integration of generative AI: reliable data vs. flawed decisions

With the meteoric rise of Generative AI and Large Language Models (LLMs), many companies will try to accelerate processes by coupling intelligent agents directly to their databases. However, AI operating on unstructured or incorrect data becomes a very serious strategic risk.

Felipe Wasserman and Rodney Repullo warned against the danger of "blind trust" in poorly prepared data:

"AI is very convincing. When it answers, it persuades you and inspires confidence. But if you don't know if it's working with reliable data, you might make the wrong decision."
— Felipe Wasserman, Marketing Director at Skyone

The journey to successful enterprise Artificial Intelligence necessarily requires a solid foundation of data cleansing, organization, and governance. The quality of the input data rigorously determines the accuracy of the actions taken by autonomous agents.

4. Autonomous AI agents and corporate governance without data leaks

Another critical point addressed in the transcript was data security and privacy. Many organizations avoid AI projects for fear of exposing sensitive data or trade secrets in public LLMs.

To address this pain point, the approach implemented in Skyone Studio prioritizes secure environments and private/isolated LLMs. A real-world example cited by Rodney was the internal automation of technical support at Magic Software itself:

“Our first internal project was to create an AI agent for technical support… based on data from over 20 years of recorded support tickets. In terms of governance, what caught my attention at Skyone Studio was creating an environment where we can carry out this entire project without being exposed to large AIs, without having to send data externally.”
— Rodney Repullo, General Manager at Magic Software Brazil

Architectural comparison: traditional vs. unified platform

Attribute	Traditional Model (Point to Point)	Unified Platform (Skyone Studio + Magic)
Maintainability	High complexity and code dependency.	Visual and centralized no-code orchestration.
Governance & Security	High risk of data leaks and lack of logs.	Compliance with ISO 27001, LGPD, and standalone LLMs.
Decision Making	Human operational issues with delays and failures.	Autonomous and predictive agents with BI support.
Time-to-Value	Slow, months of development.	Fast, with ready-made connectors and workflows.

5. Conclusion: Cloud and AI serving sustainable growth

The union between consolidated integration platforms and AI-ready data ecosystems is not just about cutting operational costs. It's about freeing the IT team from the constraints of repetitive work so they can focus 100% on innovation and the end-customer experience.

As Rodney summarized when encouraging technology professionals to keep an open mind in the face of constant change:

“No one can sit on some technology that is working and think that it will last forever… The main message is that we must always be open-minded to learning new things.”
— Rodney Repullo, General Manager at Magic Software Brazil

Would you like to delve deeper into this enriching conversation?

Don't miss the details of this lesson on integration, data, and the future of technology! Click and listen to the full episode of Trend Off on Spotify with Felipe Wasserman and Rodney Repullo.