Agentic AI

Technical

Detailed Explanation

Agentic AI refers to artificial intelligence systems capable of taking autonomous actions in the world, making decisions, using external tools, and pursuing multi-step goals with minimal or no human intervention at each step. Unlike traditional AI that responds to individual queries, agentic AI can plan sequences of actions, interact with other systems via API calls, and adapt its approach based on intermediate results. For organizations, agentic AI introduces fundamentally new governance challenges because these systems can take consequential actions independently, potentially at speed and scale that outpaces human oversight. In the COMPEL framework, agentic AI governance is addressed through dedicated articles in Modules 2.4, 2.5, 3.3, 3.4, and 4.3, covering topics from the autonomy spectrum and delegation frameworks to multi-agent orchestration and agentic failure taxonomies.

Why It Matters

Understanding Agentic AI is essential for organizations pursuing responsible AI transformation. In the context of enterprise AI governance, this concept directly impacts how organizations design, deploy, and oversee AI systems particularly within the Technology pillar. Without a clear grasp of Agentic AI, organizations risk creating governance gaps that undermine trust, compliance, and long-term value realization. For AI leaders and practitioners, Agentic AI provides the conceptual foundation needed to make informed decisions about AI strategy, risk management, and stakeholder engagement. As regulatory frameworks such as the EU AI Act and standards like ISO 42001 mature, proficiency in concepts like Agentic AI becomes not merely advantageous but operationally necessary for any organization deploying AI at scale.

COMPEL-Specific Usage

Technical concepts map to the Technology pillar of the COMPEL framework. They are most relevant during the Model stage (designing AI system architecture and governance controls) and the Produce stage (building, testing, and deploying AI solutions). COMPEL ensures that technical decisions are never made in isolation but are governed by the broader organizational context of People, Process, and Governance pillars. The concept of Agentic AI is most directly applied during the Model and Produce stages of the COMPEL operating cycle. Practitioners preparing for COMPEL certification will encounter Agentic AI in coursework aligned with the Technology pillar, and should be prepared to demonstrate applied understanding during assessment activities.

Related Standards & Frameworks

ISO/IEC 42001:2023 Annex A.5 (AI System Inventory)
NIST AI RMF MAP and MEASURE functions
IEEE 7000-2021