What It Means: A Forrester Podcast AI Agents Vs. Agentic AI: Definitions And Use Cases
Feb 13, 2025
In this insightful discussion, Craig Le Clair, VP and Principal Analyst at Forrester, and Christina McAllister, Senior Analyst at Forrester, dive into the differences between AI agents and agentic AI. They explore how AI agents enhance customer service and workforce transformation while highlighting the balance of trust and efficiency. The conversation navigates the complexities of AI adoption in businesses and the importance of focusing on outcomes. Listeners will gain a fresh perspective on integrating AI in practical, innovative ways.
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AI Agents vs. Agentic AI
- AI agents are AI-driven systems trained to act for individuals or enterprises, offering autonomous or semi-autonomous support.
- Agentic AI, a broader concept, involves AI systems planning and achieving goals by taking actions in their environment.
CSL Blood Donation Agent
- CSL, an Australian blood donation organization, uses an AI agent to assess donor eligibility, improving blood batch quality.
- While the model makes initial decisions, a phlebotomist's final sign-off prevents it from being fully agentic due to compliance.
Trust and Risk in AI Agent Adoption
- The development of AI agents is progressing rapidly, fueled by advancements in large language models and automation tools.
- However, adoption is moderated by trust and risk assessment, as businesses grapple with the implications of autonomous systems.