From "Agentish" to Agentic AI: A Guide to AI Agent Capabilities
Forrester analyst, Craig Le Clair, shares the insights IT leaders need to make informed decisions and operationalize the progression of AI agents into their organizations.
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Key Agentic AI Capabilities
The term "agentic AI" has rapidly become ubiquitous, with nearly all software vendors now claiming autonomous capabilities for their AI agents. In this on-demand session, Forrester will break down the essential AI agent capabilities and what distinguishes true autonomous agents. Tech leaders will gain insights from real-world examples, equipping them to make informed decisions and operationalize the progression of AI agents into their organizations.
What is an autonomous AI agent?
True autonomous agentic AI is defined by the depth of its model-driven decision-making and its ability to act independently.
This session will help tech leaders understand what an AI agent really is—distinguishing truly autonomous agents from the many “agent-like” tools crowding the market. Forrester Principal Analyst Craig Le Clair explores the five distinct categories of employee-support AI agents, each characterized by its level of model-driven decision-making.
Forrester’s Agent Experience (AX)
Get the insights from Forrester to lead your team as AI agents evolve to be more autonomous. You will learn to:
- Distinguish true agentic AI from "agentish" tools by understanding five categories of AI agents.
- Operationalize AI agent progression within your organization using strategic insights and real-world examples.
- Apply Forrester’s Agent Experience framework to operationalize the progression of AI agents.