mlsanityData to 13 Oct 2026

Governance by Design: Architecting Agentic AI for Organizational Learning and Scalable Autonomy

arXiv 2605.20210 ↗First posted 17 Apr 2026cs.CY cs.AI cs.MAcited by 1

On the map: LLM agents and tool use → Software engineering coding agents

Abstract (arXiv)

Agentic AI systems - systems that can pursue goals through multi-step planning and tool-mediated action with limited direct supervision - are moving from experimental prototypes to enterprise deployments. This transition introduces tensions in implementation, scaling, and governance: organizations seek scalable autonomy for knowledge and coordination work, yet must preserve accountability, safety, cost control, and responsibility as systems initiate actions, access enterprise data, and evolve through iterative updates. Building on an in-depth qualitative case of a large IT services company's 2025 development and staged rollout of an agentic system integrated with enterprise tools; we show that governance is implemented through concrete architectural and working arrangements that determine what the system is allowed to do, which tools and data it can use, how memory is handled, and how performance improvements are introduced over time. We then distill seven lessons that explain how to build effective governance into agentic AI during operationalization and scaling.

Key facts. Cited by 1 paper in the map (data through 13 Oct 2026). Placed in Software engineering coding agents, one of 16 directions in LLM agents and tool use. Builds on 5 of its 18 references that are in the map. First posted on arXiv 17 Apr 2026.

Builds on

5 of 18 references.

References · 5

  1. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,221
  2. 2023Toolformer: Language Models Can Teach Themselves to Use Toolscited by 4,117
  3. 2023A Survey on Large Language Model based Autonomous Agentscited by 2,218
  4. 2020Closing the AI Accountability Gap: Defining an End-to-End Framework for Internal Algorithmic Auditingcited by 381
  5. 2017Society-in-the-Loop: Programming the Algorithmic Social Contractcited by 35

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Cited by year (2026 to 13 Oct)

Citing papers per year: 2026: 1.

1 paper.

  1. 2026Final Authority in AI Governance: Frontier-Provider Sovereignty and Action-Centered Deployer Governancecited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2026Governing the Agentic Enterprise: A Governance Maturity Model for Managing AI Agent Sprawl in Business Operations
  2. 2026Towards Agentic AI Governance: A Preliminary Assessment
  3. 2026The CASE Framework: A Multi-Disciplinary Control Architecture for Governing Enterprise Agentic AI
  4. 2026Beyond Task Success: An Evidence-Synthesis Framework for Evaluating, Governing, and Orchestrating Agentic AI
  5. 2026A Practical Guide to Agentic AI Transition in Organizations
  6. 2025Governed By Agents: A Survey On The Role Of Agentic AI In Future Computing Environments
  7. 2025With Great Capabilities Come Great Responsibilities: Introducing the Agentic Risk & Capability Framework for Governing Agentic AI Systems
  8. 2026Agentic Explainability at Scale: Between Corporate Fears and XAI Needs