How to govern AI and empower businesses in 2026
For artificial intelligence in companies to move from prototype to real impact, a clear strategic vision is essential.
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Enterprise architecture as a translator between business, technology, and AI agents
Today, architecture takes on an active role in the process, and ceases to be a tool to support decisions, far removed from execution.
Towards a platform tools model in the programmer ecosystem
By defining responsibilities and automating repetitive tasks, the business can move towards a sustainable model where each team contributes its maximum value.
AI has already arrived in business, but leaders are still stuck in the 20th century.
We are experiencing a paradoxical moment in organizations. On the one hand, the media bombardment about the “imperative need” to adopt Artificial Intelligence has generated systemic anxiety.
How are AI agents redefining software work?
The challenge of scaling artificial intelligence in organizations
The year 2026 demands a change in mindset: moving from opportunistic experimentation to a highly disciplined AI implementation anchored in governance.