AIOps Maturity Model
The Path to Intelligent Operations
As enterprises evolve toward AI-first business models, IT operations face growing complexity, velocity, and interdependence. Traditional monitoring and manual incident response can no longer keep pace with the demands of modern, hybrid infrastructures. Artificial Intelligence for IT Operations (AIOps or AgentOps) has emerged as a transformative capability; bringing together observability, machine learning, and automation to deliver faster, smarter, and more resilient systems.
The AIOps Maturity Model provides a structured framework for understanding how organizations progress from reactive, human-driven operations to fully autonomous, adaptive, and agentic ecosystems. It highlights the interplay of four critical dimensions; Data Maturity, Automation Depth, Human–AI Collaboration, and Governance; that together define operational intelligence and resilience.
Each level of the model represents a meaningful step forward: from siloed monitoring to predictive insights, from rule-based automation to self-healing systems, and from human oversight to governance-by-design. By assessing their current maturity, enterprises can identify capability gaps, prioritize investments, and chart a clear path toward Agentic Operations; where AI agents not only observe and recommend but act, adapt, and continuously optimize.
The following presentation outlines the maturity model.
