Building Autonomous Enterprise Integration Frameworks Using AI Enabled API Management and Intelligent Data Engineering

Moinul Islam; Moinul Islam

doi:10.15662/ijetemr.2023.0805007

Building Autonomous Enterprise Integration Frameworks Using AI Enabled API Management and Intelligent Data Engineering

Moinul Islam

Independent Researcher, Bangladesh

Abstract

Modern enterprises operate within highly distributed digital landscapes, characterized by a massive proliferation of applications, heterogeneous data structures, and cloud-native systems. Traditional enterprise integration paradigms rely heavily on manual orchestration, static mapping, and deterministic rule-matching engines, creating significant operational bottlenecks and scaling friction. This paper introduces a comprehensive technical blueprint for building autonomous enterprise integration frameworks by converging artificial intelligence (AI) enabled API management with intelligent data engineering practices. By embedding machine learning models directly into the integration and ingestion layers, the proposed framework achieves self-configuration, cognitive payload mapping, and automated runtime optimization. The architecture leverages deep learning models to predict data stream behaviors, natural language processing (NLP) to automate semantic API endpoint discovery, and unsupervised anomaly detection to dynamically throttle and secure information pathways. Furthermore, intelligent data engineering pipelines dynamically restructure, clean, and enrich streaming data based on evolving business schemas without human engineering intervention. The empirical findings demonstrate that moving to an autonomous integration model reduces engineering integration times, optimizes multi-cloud computational resource distribution, and lowers the mean time to recover (MTTR) from interface failures, offering a resilient paradigm for modern data-driven enterprises.

Article Information

Journal	International Journal of Emerging Trends in Engineering and Management Research
Volume (Issue)	Vol. 8 No. 5 (2023): International Journal of Emerging Trends in Engineering and Management Research (IJETEMR)
DOI	https://doi.org/10.15662/ijetemr.2023.0805007
Pages	14383-14390
Published	September 11, 2023
Copyright	All rights reserved
Open Access	This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite	Moinul Islam (%2023). Building Autonomous Enterprise Integration Frameworks Using AI Enabled API Management and Intelligent Data Engineering. International Journal of Emerging Trends in Engineering and Management Research , Vol. 8 No. 5 (2023): International Journal of Emerging Trends in Engineering and Management Research (IJETEMR) , pp. 14383-14390. https://doi.org/10.15662/ijetemr.2023.0805007

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