Regulatory Change Propagation Agent

Shatrunjay Kumar Singh ()

International Journal of Innovative Science and Research Technology (IJISRT), 2026, vol. 11, issue 04, 3262-3268

Abstract: Regulated organizations routinely absorb policy changes through a fragmented manual workflow in which analysts detect updates, interpret downstream consequences, assign owners, and write change notes under time pressure. This paper proposes a Regulatory Change Propagation Agent, a multi-agent architecture that detects regulatory differences and orchestrates structured follow-up work while preserving human approval gates. The design combines a diff engine, a dependency-graph reasoning layer, and notifier-authoring agents that transform upstream legal or policy changes into targeted work packets. To evaluate the approach, the paper defines four operational metrics: detection latency, coverage of affected sections, precision of impact mapping, and reviewer acceptance rate. A prototype evaluation on a synthetic but policy-shaped corpus suggests that agentic orchestration can materially reduce time-to-detection and improve consistency of impact analysis relative to manual baselines. The contribution of the paper is not only an automation pipeline, but also a governance pattern: automation performs first-pass propagation, while human reviewers remain accountable for approval, override, and publication.

Keywords: Regulatory Intelligence; Change Propagation; Agent Systems; Policy Operations; Workflow Orchestration; Human-In-TheLoop Governance. (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:cvr:ijisrt:2026:04:ijisrt26apr2004

DOI: 10.38124/ijisrt/26apr2004

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