AIOps Beyond Automation
In modern, complex IT environments, the real challenge is not prediction - it is decision-making.
This book introduces a governance-first perspective on AIOps, framing it as a decision system rather than an automation layer. Drawing from real operational experience and applied research, it explores how organizations can design AIOps systems that are accountable, explainable, and aligned with business risk.
Rather than focusing on tools or vendors, the book addresses:
The limits of traditional monitoring and alert-driven operationsWhy many AIOps initiatives fail without governanceThe difference between prediction, decision, and actionRisk-based thinking in IT operationsHuman-in-the-loop and decision accountabilityExplainability in production environmentsWritten for IT leaders, architects, and practitioners, AIOps Beyond Automation provides a practical and strategic framework for building trustworthy AIOps systems - systems that enhance operational intelligence without sacrificing control.