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Kaiban: The AI Agent Management System for Airlines As AI adoption accelerates in aviation, airlines are deploying AI agents to enhance operations, optimize workflows, and integrate across legacy systems. However, without a structured management system, these agents become isolated, difficult to oversee, and hard to scale. Airlines need a centralized platform to manage their AI workforce. Kaiban provides the infrastructure to build, train, and oversee AI agents within an intuitive, Kanban-based command center. Instead of fragmented AI deployments, airlines gain a structured environment to manage their agents effectively. Why AI Agents Need a Home Visibility & Control – Without a management system, AI agents operate in silos, making oversight and governance difficult. Scalability – As AI adoption grows, airlines need a structured framework to deploy, track, and optimize their AI workforce. Knowledge Retention – AI agents accumulate valuable operational knowledge. A centralized platform ensures this intelligence remains within the airline, not with external vendors. Seamless Human-AI Collaboration – AI agents must integrate with human teams, processes, and legacy systems in a structured, trackable way.

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Leadership

The top of Kaiban's org chart, with how many people report into each leader.

DVPhoto of Dariel Vila

Dariel Vila

Chief Executive Officer