Manage AI Agents Like Employees: Boomi's Patricia Moore

Businesses deploying AI agents should manage them like new employees, not infallible digital workers. That's according to Patricia Moore, Boomi AI Field CTO and Innovation Lead. She suggests giving AI agents bounded responsibilities and supervising their work. Organizations should understand an AI's mistakes and expand its authority only as it earns trust. Artificial intelligence can reason across vast information and act across business systems, but it shouldn't be given complete control immediately. Moore compares this to a new employee who starts with smaller tasks and has their work reviewed. As they demonstrate understanding and judgment, they gain more responsibility. AI agents should earn their autonomy in the same way. However, a key challenge remains: how to understand an AI's mistakes. If a human makes an error, they can explain it. But if an AI agent makes a mistake, organizations need access to logs and data to reconstruct what happened and why. They also need mechanisms to correct it and know if those corrections will impact future behavior. The bottom line: a human being must own the outcome. Responsibility needs to be clearly assigned before AI technology goes into production, so an organization can't just blame "the AI" for inappropriate decisions.