AI agents can review information, make decisions, trigger workflows, and support complex processes. However, they must also respond effectively to incomplete data, system outages, unforeseen scenarios, regulatory requirements, and errors that could impact the business.

Artificial intelligence has already moved past the experimental phase. For Latin American companies, the challenge now lies in how to adopt it with speed, traceability, and trust.

One of the most widespread misconceptions in 2025 and 2026 has been this line of reasoning: “If AI can do part of the work, I can reduce headcount and reallocate that budget to AI licenses.”

If your company is already using AI to write code, you have a very tight window of time before quality issues start showing up in your live systems—or worse, hurting your customers’ experience.

In many organizations across Latin America, discussions around technological infrastructure have become increasingly uncomfortable. Market conditions have shifted significantly, and the decisions that were sidelined two or three years ago are now carrying far more weight.

When we arrived at the Banking Tech Summit Panama 2026 as sponsors, we didn’t show up to learn the basics of AI or to discover that outdated legacy systems are a headache.