Agentic AI Essentials Glossary
Executive Summary
As more organizations explore copilots and autonomous systems, agentic AI has become one of the most talked-about developments in artificial intelligence – but the terminology surrounding it is often unclear. Our ‘Agentic AI Essentials Glossary ’ focuses on the core concepts and foundational terms decision-makers need to frame requirements, compare vendors and separate marketing hype from genuine architectural change.
About the Author
Henry Kirkman
Senior Analyst
Henry is a Senior Analyst in the AI Applied research team at Verdantix, specializing in enterprise AI platforms, agentic systems, industrial AI, document AI and graph database...
View ProfileOther related content
Many software vendors are watching buyers build custom AI agents and wondering whether to be worried. The data is instructive: 82% of survey respondents say advances in AI coding h...
Upcoming / 21 October, 2026
Manufacturing is entering a new phase of transformation. Investment in AI, computer vision and connected technologies is accelerating, shaped in part by the renewed push toward dom...
Upcoming / 20 October, 2026
Join Verdantix and Nakisa for a practical discussion on how IWMS is evolving in the era of AI. We’ll explore how organizations are re-evaluating legacy platforms, where near-term ...
Upcoming / 13 October, 2026
In December 2025, Verdantix examined Singapore’s proposed approach to AI risk management in financial services following the Monetary Authority of Singapore's (MAS) launch of a ...
30 September, 2026
Agent orchestration is no longer a theoretical concept – enterprise software vendors are making architectural decisions right now that will define their competitive position for ye...
24 September, 2026
Your organisation is investing in industrial AI. But without clear data ownership, quality standards aligned to operational risk, and governance built to scale, those investments a...
23 September, 2026