As agentic AI evolves from experimental to mission-critical, product leaders and enterprise technology teams must understand the maturity stages and capabilities required to stay competitive. This essential Gartner research provides a comprehensive roadmap for navigating the progression from basic AI agents to advanced autonomous systems that will reshape enterprise operations over the next decade.
Learn how to strategically plan your R&D investments, prioritize capability development, and prepare your organization for the continuous disruption that agentic AI will bring to your industry.
Agentic AI Maturity Framework
Understand the five distinct maturity levels of agentic AI—from basic task automation to expert autonomous systems—and where your organization currently stands on this progression path.
Key Capability Development Priorities
Discover the critical technical and organizational capabilities required at each maturity stage, enabling you to build targeted roadmaps that align with your strategic objectives and timeline.
R&D Investment Recommendations
Access detailed guidance on prioritizing research and development investments to accelerate your progression through maturity stages while managing risk and resource constraints.
Advanced Agent Characteristics
Gain insights into the defining characteristics of advanced and expert AI agents, including autonomy, reasoning depth, multi-agent orchestration, and adaptive learning capabilities.
Readiness Assessment Framework
Learn how to evaluate your organization's current readiness for agentic AI adoption, identifying gaps in infrastructure, skills, governance, and processes that must be addressed.
Strategic Planning Assumptions
Understand the critical planning assumptions and market predictions that will influence agentic AI adoption timelines, helping you make informed decisions about when and how to invest.
Gartner, Emerging Tech: Agentic AI Maturity Roadmap, 08 August 2025
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