A recent report on the future of Latin American banking aligns, almost word for word, with what Q-Vision Technologies has been observing from the inside of projects for years: the lack of a structured methodology to modify technology without breaking it is the financial sector’s primary challenge.

Mexico and Panama legislate AI at the same time. Here is my guide, as a CIO, to avoid getting trapped between two regulatory frameworks.

The challenge for Colombian banking is no longer connecting to Bre-B. It’s keeping operations running when millions of transactions depend on everything working, all the time.

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.”