How to safely manage AI agents

AI agents are increasingly being integrated into organizational workflows to automate routine tasks and enhance productivity, but their management requires careful oversight to ensure they operate safely and within set boundaries. Effective management involves defining the agent's role clearly, ensuring precision in automation, maintaining an updated and organized knowledge base, and prioritizing security and data protection. Transparency and traceability of AI actions are crucial for trust and quick problem resolution, while treating AI agents as team members who complement human strengths can optimize performance. Platforms like Credal are highlighted for unifying the management aspects of AI agents, including permissions, knowledge sources, and regulation compliance, thereby facilitating confident and responsible deployment. Ultimately, the appropriate implementation of AI agents, supported by strong management practices, transforms them from experimental tools into reliable assets, enhancing organizational capabilities and trust.