International Journal of Advance Research Publication and Reviews

International Journal of Advance Research Publication and Reviews
Peer-Reviewed | Multi-Disciplinary Journal

ISSN: 3049-0103 (O)

Impact Factor: 4.33

Self-Driven Enterprise Data Exploration Through Agentic Reasoning, Federated Retrieval, and Reflexive Natural Language Orchestration Frameworks

Author

Oghenero Agbaro

Abstract

 Enterprise decision-making increasingly depends on evidence distributed across databases, data warehouses, cloud applications, APIs, knowledge graphs, document repositories, operational platforms, and streaming systems. Conventional retrieval architectures remain constrained when complex analytical questions require autonomous source discovery, iterative investigation, cross-system evidence integration, and revision of initially incomplete reasoning pathways. This article develops a self-driven enterprise data exploration framework integrating agentic reasoning, federated retrieval, and reflexive natural-language orchestration. Natural-language objectives are transformed into evidence requirements and dynamically decomposed into dependent analytical tasks. Specialized agents coordinate source discovery, federated querying, semantic reconciliation, hypothesis evaluation, and cross-source reasoning while preserving provenance across retrieved and derived evidence. A reflexive orchestration mechanism continuously evaluates evidence sufficiency, contradictions, uncertainty, retrieval failures, and unresolved dependencies, enabling selective query reformulation, source substitution, task expansion, and reasoning revision. The framework further incorporates capability-aware agent allocation, access constraints, retrieval cost, and verification before analytical synthesis. By converting natural-language interaction from a static request-response process into an adaptive investigative cycle, the proposed architecture provides a foundation for autonomous, traceable, resilient, and governance-aware enterprise data exploration across heterogeneous information ecosystems.

Keywords

Agentic Reasoning; Federated Retrieval; Reflexive Orchestration; Enterprise Data Exploration; Multi-Agent Systems; Cross-System Analytics

DOI : https://doi.org/10.5281/zenodo.22269691

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