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 COR Concepts 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.
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How AI Agents Differ From Agentic AI: What Businesses Need To Know
published by COR Concepts
COR Concepts provides Information Governance, Records Management and Enterprise Content Management (ECM) consulting and training services. The company is built on the belief that any Information, Records or Document Management initiative should be designed to extract the maximum business benefit for the organization.
We bring together Compliance, Risk Management and Operational information requirements in a way that delivers benefits to each one of these diverse business units. Our approach is to use an array of industry standards and best practice methodologies to ensure that each implementation will stand the test of time.
We see information governance and records management as an integral part of any Enterprise Content Management implementation and focus on building a solid platform including a records management policy, records management procedures, file plans and a solid change management infrastructure. Building and implementing governance structures is becoming essential for success and we design structures to ensure that all governance aspects are included.
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