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The Billion-Dollar Question: “Who Has the Most Trustworthy Network of Agents?”
By Peter Kreslins Junior · · View online →
Anyone working in technology knows: for decades, system integration was essentially a technical challenge. An engineering problem, solved with lines of code, connectors, and well-defined protocols. A complex obstacle, no doubt—but one that belonged to the world of Exact Sciences: design the right architecture, follow the rules, and make systems talk to each other. That logic worked for a long time, but the landscape has changed.
On one hand, with the rise of artificial intelligence, we’ve never had so many available solutions. On the other hand, we’ve never seen so much waste. Pilots are launched, budgets are spent, expectations are set—but transformation doesn’t happen. A recent study by the Massachusetts Institute of Technology (MIT) proves this: 95% of generative AI projects don’t deliver effective results.
In the coming years, this inefficiency may persist—or even grow—with the advent of AI agents: systems capable of interacting with users and making decisions on their own. Without proper preparation, companies could turn into massive entangled webs.
The reason is simple: the problem of integration is no