mlsanityData to 14 Oct 2026

Agentic Systems: A Guide to Transforming Industries with Vertical AI Agents

arXiv 2501.00881 ↗First posted 1 Jan 2025cs.MAcited by 20

On the map: LLM agents and tool use → General LLM agent frameworks and benchmarks

Abstract (arXiv)

The evolution of agentic systems represents a significant milestone in artificial intelligence and modern software systems, driven by the demand for vertical intelligence tailored to diverse industries. These systems enhance business outcomes through adaptability, learning, and interaction with dynamic environments. At the forefront of this revolution are Large Language Model (LLM) agents, which serve as the cognitive backbone of these intelligent systems. In response to the need for consistency and scalability, this work attempts to define a level of standardization for Vertical AI agent design patterns by identifying core building blocks and proposing a Cognitive Skills Module, which incorporates domain-specific, purpose-built inference capabilities. Building on these foundational concepts, this paper offers a comprehensive introduction to agentic systems, detailing their core components, operational patterns, and implementation strategies. It further explores practical use cases and examples across various industries, highlighting the transformative potential of LLM agents in driving industry-specific applications.

Key facts. Cited by 20 papers in the map (data through 14 Oct 2026). Placed in General LLM agent frameworks and benchmarks, one of 16 directions in LLM agents and tool use. Builds on 5 of its 14 references that are in the map. First posted on arXiv 1 Jan 2025.

Builds on

5 of 14 references.

Closest ancestors · 1

Same direction, newest first

  1. 2024Magentic-One: A Generalist Multi-Agent System for Solving Complex Tasks7 Nov

Other references · 4

  1. 2022ReAct: Synergizing Reasoning and Acting in Language Modelscited by 8,695
  2. 2023Retrieval-Augmented Generation for Large Language Models: A Surveycited by 2,212
  3. 2023AI for IT Operations (AIOps) on Cloud Platforms: Reviews, Opportunities and Challengescited by 15
  4. 2024SRSA: A Cost-Efficient Strategy-Router Search Agent for Real-world Human-Machine Interactionscited by 2

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 15; 2026: 5.

20 papers.

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  1. 2025Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AIcited by 42
  2. 2025Inherent and emergent liability issues in LLM-based agentic systems: a principal-agent perspectivecited by 13
  3. 2025Agentic AI for Intent-Based Industrial Automationcited by 7
  4. 2026AI Agents Need Memory Control Over More Contextcited by 7
  5. 2025Bridging Industrial Expertise and XR with LLM-Powered Conversational Agentscited by 4
  6. 2026ProofAgent Harness: Open Infrastructure for Adversarial Evaluation of AI Agentscited by 4
  7. 2026Human-on-the-Bridge: Scalable Evaluation for AI Agentscited by 4
  8. 2025An Agentic AI for a New Paradigm in Business Process Developmentcited by 2
  9. 2025Measuring temporal effects of agent knowledge by date-controlled tool usecited by 1
  10. 2025Test Amplification for REST APIs via Single and Multi-Agent LLM Systemscited by 1
  11. 2025PestMA: LLM-based Multi-Agent System for Informed Pest Managementcited by 1
  12. 2025Perceptions of Agentic AI in Organizations: Implications for Responsible AI and ROIcited by 0
8 more
  1. 2025Synchronization Dynamics of Heterogeneous, Collaborative Multi-Agent AI Systemscited by 0
  2. 2025Generative AI for Industrial Contour Detection: A Language-Guided Vision Systemcited by 0
  3. 2025A Hybrid Ai Framework For Strategic Patent Portfolio Pruning: Integrating Learning To-Rank And Market Need Analysis For Technology Transfer Optimizationcited by 0
  4. 2025Evaluation Sheet for Deep Research: A Use Case for Academic Survey Writingcited by 0
  5. 2025Agentic LLMs for REST API Test Amplification: A Comparative Study Across Cloud Applicationscited by 0
  6. 2025SOLVE-Med: Specialized Orchestration for Leading Vertical Experts across Medical Specialtiescited by 0
  7. 2026CausalPulse: An Industrial-Grade Neurosymbolic Multi-Agent Copilot for Causal Diagnostics in Smart Manufacturingcited by 0
  8. 2026LegalMidm: Use-Case-Driven Legal Domain Specialization for Korean Large Language Modelcited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2025Empowering Real-World: A Survey on the Technology, Practice, and Evaluation of LLM-driven Industry Agents
  2. 2023The Rise and Potential of Large Language Model Based Agents: A Survey
  3. 2024Practical Considerations for Agentic LLM Systems
  4. 2026Agentic Artificial Intelligence (AI): Architectures, Taxonomies, and Evaluation of Large Language Model Agents
  5. 2026The Path Ahead for Agentic AI: Challenges and Opportunities
  6. 2024Exploring Large Language Model based Intelligent Agents: Definitions, Methods, and Prospects
  7. 2025Fundamentals of Building Autonomous LLM Agents
  8. 2025From Language to Action: A Review of Large Language Models as Autonomous Agents and Tool Users