Generating value with AI is the new challenge for the financial market, says Objective’s CEO.

During Febraban Tech 2026, the largest technology and innovation event in the country’s financial sector, João Paulo, CEO of Objective, emphasized the moment that financial companies are experiencing concerning artificial intelligence. The central message: the debate is no longer about the potential of AI, but about how to turn that potential into business results without losing control along the way.

The hype is over. Now comes the hard part

“Everyone knows that technology is advancing very quickly”, says João Paulo. But, according to him, integrating artificial intelligence agents to operate in highly regulated environments, like finance, requires much greater technological capability than just adopting a new tool.

It’s necessary to orchestrate reliable data, governance, security, and process integration. And perhaps the most frequently overlooked point in conversations about generative AI: having clarity about where human decision-making is still needed, even with agents operating part of the actual business.

This combination of mature technology, rigorous governance, and human judgment in the right place is what separates an AI pilot from an AI operation that effectively sustains results.

The question has changed

For CIOs, CTOs, and other business leaders, the question has shifted from “Does AI work?” to a different, harder-to-answer one: how to transform this potential into scale and results without losing control along the way?

According to João Paulo, this is an agenda that goes far beyond technology itself. It involves architecture, processes, and a new work model, built not from theory, but from concrete results obtained with real clients in the financial segment.

This distinction matters. It’s easy (and common) to talk about artificial intelligence in generic terms, capabilities, models, and benchmarks. It’s much harder, and much more valuable, to talk about how a specific financial institution, with its own legacy systems, regulatory requirements, and risk appetite, can actually deploy this securely in production.

Why Febraban Tech

This is why Objective participated in Febraban Tech 2026: to get even closer to the financial market and support sector leaders at this specific moment, where generating value with AI, and not just implementing it, is the new challenge.

This is also the logic behind Atlas Objective, presented at the company’s booth during the event: a mapping of 18 territories within the financial market, each with its own value chain, risks, and real AI opportunities. Because, as Objective has been emphasizing, treating the financial sector as a single block is the biggest strategic mistake a technology company can make.

What remains

João Paulo’s speech summarizes a movement already happening within the technology areas of the financial sector: maturity in generative AI is no longer measured by the number of agents implemented, but by the ability to govern those agents securely, extract real business results, and maintain clarity at every stage of the process where decisions still need to be human.

Want to understand how this applies to your specific territory within the financial market? Get in touch