Architecting, Grounding and Governing – Telecom Supply Chain GenAI Agents with SAP AI Foundation
DOI:
https://doi.org/10.63282/3050-9262.IJAIDSML-V6I4P107Keywords:
Telecom Supply Chain Management (SCM), Generative AI (GenAI), AI Agents, SAP AI Foundation, SAP Business Technology Platform (BTP), Architecting, Grounding, Governing, SAP AI Core, Generative AI Hub, Joule Studio, SAP HANA Cloud Vector Engine, SAP Knowledge Graph, Retrieval Augmented Generation (RAG), AI Ethics, Responsible AI, Supply Chain Optimization, Digital Transformation, Network Rollout, Spare Parts Logistics, 5GAbstract
Modern supply chains demand unprecedented agility, resilience, and intelligence to navigate the volatility of rapid technology cycles, complex network rollouts, and critical infrastructure dependencies. Generative AI (GenAI) agents offer transformative potential, automating complex decision-making and optimizing processes. However, realizing this potential requires robust frameworks for their architecture, grounding in reliable data, and responsible governance. This white paper details a comprehensive approach to architecting, grounding, and governing Telecom Supply chain GenAI agents leveraging SAP AI Foundation on the SAP Business Technology Platform (BTP). It explores methodologies for building context-aware, reliable, and ethically aligned agents using components like SAP AI Core, Generative AI Hub, SAP HANA Cloud Vector Engine, and SAP Knowledge Graph. The paper outlines the benefits, including enhanced efficiency, enhanced network resilience, improved field service efficiency, optimized inventory, improved decision-making, and increased resilience, alongside implementation considerations and use cases, targeting supply chain professionals, IT/AI architects, and business leaders seeking to harness GenAI responsibly within the SAP ecosystem and architecting Gen AI agents
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