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For the past two years, companies have been racing to build AI agents. Most of that work has been focused inward: Embedding agents inside existing enterprise applications, workflows and teams. Now a more consequential shift is already underway. AI agents are beginning to operate beyond the boundaries of the enterprise, interacting with external systems, coordinating with partner platforms and, increasingly, engaging with other agents owned by different organizations. This is where the architecture changes. These are not future scenarios. The underlying capabilities already exist. What’s changing is the expectation that these interactions will happen continuously, autonomously and across organizational boundaries.