Voice-Driven CICD for SAP Supply Chains: Generative Agents Orchestrating Autonomous Ops

Abstract

The increasing complexity of SAP-based supply chains demands automation frameworks that are both adaptive and human-centric. This study introduces a novel architecture that integrates voice-driven continuous integration and continuous deployment (CICD) with generative AI agents to orchestrate autonomous operations in SAP environments. A mixed-method research design was employed, combining system prototyping, simulation, and statistical analysis. Results demonstrate substantial improvements in CICD performance, with deployment success rates rising from 85.2% to 96.7% and rollback times reduced by over 60%. Generative agents achieved orchestration accuracies above 90%, adapting workflows dynamically and autonomously resolving operational errors. These technical advancements translated into measurable supply chain gains, including a 35% reduction in order fulfillment cycle time, enhanced inventory accuracy, and improved forecasting precision. User evaluations further confirmed strong acceptance, with usability scores averaging 87.4 and adoption intent exceeding 90%. Multivariate analysis revealed significant performance differences across routine, adaptive, and critical tasks, indicating the system’s versatility across varying operational complexities. The findings suggest that voice-driven generative orchestration not only improves efficiency and resilience but also democratizes access to enterprise automation, enabling non-technical stakeholders to participate directly in supply chain optimization. This research contributes to the advancement of intelligent, self-managing enterprise systems, positioning voice interfaces and generative agents as key enablers of the future SAP ecosystem.