This article presents a comprehensive framework for implementing composable AI agents across multi-cloud enterprise environments to enable next-generation digital transformation. As organizations increasingly adopt distributed cloud infrastructures, they face significant challenges in achieving seamless process automation across platform boundaries. Traditional robotic process automation approaches demonstrate initial value but frequently fail to scale in complex multi-cloud scenarios. Composable AI agents address these limitations by functioning as autonomous, containerized microservices that can be orchestrated to perform specialized tasks within broader business processes. The framework delineates the core principles of agent composability—autonomy, reusability, and composability—alongside a four-layer architectural model encompassing agent, integration, orchestration, and governance layers. Implementation patterns are categorized into architectural approaches (serverless, container-based, and managed endpoints), integration mechanisms, and orchestration strategies, with a detailed examination of enabling technologies. Through case studies in financial automation and IT service management, the article demonstrates how composable AI architectures accelerate digital transformation timelines, reduce manual intervention requirements, enhance process flexibility, and deliver substantial cost savings. The framework provides enterprises with a structured approach to implementing intelligent automation solutions that maintain effectiveness across diverse cloud environments while adapting to changing business requirements.
Keywords: Intelligent automation, autonomous agents, composable AI agents, enterprise digital transformation, microservices orchestration, multi-cloud architecture
