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
Most industrial firms can point to the platforms they've deployed: a historian, an EAM, a handful of analytics tools added at different times to solve different problems. Far fewer...
Upcoming / 01 September, 2026
AI pricing has moved from experimentation to execution. Many SaaS vendors now offer credits, usage allowances and overage models, but are still working out how to forecast consump...
Upcoming / 25 August, 2026
According to Verdantix research, 51% of manufacturing leaders cite improving asset uptime as a high priority for the next twelve months, with a further 35% placing production and y...
Upcoming / 20 August, 2026
The reporting burden has shifted. So has the opportunity. CSRD, ESRS, and a growing wave of global assurance requirements have pulled sustainability data into the same governance m...
Upcoming / 17 September, 2026
On July 20, Prime Minister Andy Burnham appointed Kanishka Narayan as the UK's first Cabinet-level AI minister while dismantling the Department for Science, Innovation and Techno...
28 July, 2026
Enterprises are sitting on vast volumes of unstructured data locked away in documents, PDFs and images, limiting how effectively they can be used in modern AI systems. As organisat...
28 July, 2026