How AI Agents Differ From Agentic AI: What Businesses Need To Know
Understanding how AI fits into your workforce strategy starts with defining what it can and can't do. This article explains how agentic AI differs from traditional AI agents, highlighting why this distinction matters for businesses trying to scale automation responsibly. Read it for perspective on what's next in intelligent systems and what it means for your team's productivity, oversight, and outcomes. Contact Cyber Security Consulting Ops to discuss how to align your strategy with the right kind of AI.
AI agents are autonomous software systems designed to execute specific, goal-oriented tasks. They utilize tools like APIs and databases, and are often built on large language models such as GPT-4. These agents excel in areas like customer service, scheduling, and email prioritization. Unlike traditional generative AI, AI agents can plan, act, and iterate based on user-defined goals, leading to significant improvements in efficiency, such as a 40% reduction in customer support ticket resolution time.
Agentic AI represents a more advanced architecture that consists of multiple specialized agents working together under a central orchestrator. This coordinated approach allows for handling complex tasks that require dynamic planning and inter-agent negotiation. For instance, in a research lab, a multi-agent system can collaboratively write grant proposals, significantly reducing the time required from weeks to hours. This system also introduces capabilities like persistent memory and reflective reasoning, which are essential for long-term task fulfillment.
Challenges of AI Agents and Agentic AI
Both AI agents and agentic AI encounter notable challenges. AI agents may struggle with issues like hallucinations, brittleness in prompt design, and limited context retention. On the other hand, agentic AI faces coordination failures and unpredictability. Despite these challenges, ongoing advancements are being made to address these issues, paving the way for a future where these systems can operate more effectively in various business environments.
.jpg)
How AI Agents Differ From Agentic AI: What Businesses Need To Know
published by Cyber Security Consulting Ops
Cyber Security Consulting Ops
We offer online interactive cybersecurity training to companies. We don't just send out phishing emails like other cybersecurity companies to their employees. We first show employees the tactics used by hackers and how they can identify these types of attacks before they open an attachment or click on a link in an email.
We are a risk-management cybersecurity consulting firm focused on helping organizations prevent data loss and system lock-ups before a cyber breach. We provide remote workforce social engineering training for employees, along with cybersecurity PenTest and Internal assessments. We also provide digital forensic to recover data after a cybersecurity breach.
Sign in with LinkedIn