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19 June 2025
Article
Effective governance frameworks for AI agents
By implementing comprehensive AI agent evaluation across action sequence analysis, performance metrics, reliability measures, and compliance standards, organizations can ensure their AI systems deliver value while maintaining safety and trust. watsonx.governance transforms AI governance into a continuous, feedback-driven process—combining real-time observability, risk management, and multilingual quality assurance. With proper governance, AI agents can transform from experimental technology to trusted business partners, delivering significant value while minimizing risks.
