Intent-Driven Agentic Systems: Engineering AI That Understands, Plans and Executes Human Goals End-to-End
Author(s): Subhasis Kundu
Publication #: 2603028
Date of Publication: 06.02.2026
Country: United States
Pages: 1-9
Published In: Volume 12 Issue 1 February-2026
DOI: https://doi.org/10.62970/IJIRCT.v12.i1.2603028
Abstract
This paper presents a novel framework for intent-driven agentic systems, designed to comprehensively understand, plan, and execute human objectives. By integrating goal decomposition, dynamic tool utilization, and collaboration among multiple agents, this paradigm enables context-aware autonomous agents to operate end-to-end with enhanced flexibility and precision. The architecture supports the disaggregation of complex goals into manageable sub-goals, the coordination of specialized agents, and the employment of external tools to achieve desired outcomes. This approach addresses the limitations of current AI systems concerning adaptability and contextual comprehension. Experimental results demonstrate improved performance across various task environments, highlighting the system's potential for real-world applications. The framework offers a scalable and modular solution for advancing autonomous agent capabilities in alignment with human intent. Future research will focus on deeper integration with evolving AI models and expanded collaboration mechanisms.
Keywords: Intent-Driven Systems, Autonomous Agents, Goal Decomposition, Tool Invocation, Multi-Agent Collaboration, Context-Aware AI, Human-Centered AI.
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