Designing Scalable Enterprise Automation Through Agentic AI and Resilient Serverless Cloud Architecture
DOI:
https://doi.org/10.15680/ewdwyr70Keywords:
Agentic AI, Serverless Architecture, Enterprise Automation, Cloud-Native, Resilient Orchestration, Event-Driven Design, Autonomous AgentsAbstract
Modern enterprises face unprecedented operational bottlenecks due to rigid, legacy automation frameworks that struggle to adapt to dynamic data environments. This paper proposes a novel framework for scalable enterprise automation by fusing agentic Artificial Intelligence (AI) with a resilient, event-driven serverless cloud architecture. Traditional automation often breaks down when encountering unexpected process variations or spikes in transactional volume. By leveraging autonomous AI agents—capable of reasoning, tool use, and self-correction—integrated within an auto-scaling serverless topology, organizations can achieve both cognitive flexibility and infinite computational elasticity. We outline an architectural blueprint that decouples long-running orchestration from transient compute resources, utilizing managed message queues and stateful serverless functions to ensure zero-downtime resiliency. Through extensive performance evaluations, this approach demonstrates a 40% reduction in operational latency, near-zero infrastructure maintenance overhead, and a substantial increase in system fault tolerance compared to traditional microservices. Ultimately, this research provides an actionable paradigm for engineering enterprise-grade, intelligent automation systems that effortlessly scale alongside fluctuating market demands.
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