Evolving iPaaS to Autonomous Integration with Generative AI |
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| © 2025 by IJCTT Journal | ||
| Volume-73 Issue-3 |
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| Year of Publication : 2025 | ||
| Authors : Shashi Nath Kumar | ||
| DOI : 10.14445/22312803/IJCTT-V73I3P114 | ||
How to Cite?
Shashi Nath Kumar, "Evolving iPaaS to Autonomous Integration with Generative AI," International Journal of Computer Trends and Technology, vol. 73, no. 3, pp. 112-117, 2025. Crossref, https://doi.org/10.14445/22312803/IJCTT-V73I3P114
Abstract
This paper discusses a holistic approach to evolve traditional enterprise system integration, leveraging Large Language Models, Retrieval Augmented Generation and the Model Context Protocol to build ‘Autonomous Integration with AI Agents’. I have proposed a roadmap to a paradigm shift from traditional, static integration flows built with integration platform offerings to a dynamic, context-aware integration ecosystem. By enabling AI agents to autonomously negotiate contracts and protocols and by using MCP to standardize contextual data exchange, the aim is to address the challenges of complexity, adaptability, and interoperability in modern enterprise systems, ultimately trending towards reduced development time, adaptable to modern agile practices, and enhanced system resilience.
Keywords
Autonomous Integration, Enterprise Integration, Generative Artificial Intelligence, Integration Platform as a Service, Large Language Models, Future of System Integration, System Integration Evolution.
Reference
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