A Path Toward Trusting Agentic NetOps

As AI reshapes network operations, enterprise teams increasingly expect intelligent capabilities embedded within their infrastructure and management platforms. Yet while demand for AI-driven NetOps continues to grow, trust remains the defining factor for adoption. Research from Enterprise Management Associates (EMA) shows that although AI heavily influences vendor selection, only a small percentage of IT professionals fully trust the AI tools managing their networks.

For agentic NetOps to succeed, AI must be transparent, explainable, and verifiable. Network operators need clear insight into how AI systems generate recommendations through data attribution, visualized reasoning, and manual confirmation workflows. Trust is not about perfection; it’s about visibility, accountability, and continuous improvement. Organizations that prioritize these principles will empower their teams to confidently embrace AI and unlock faster operations, reduced errors, and smarter infrastructure management.