Enterprises increasingly expect AI agents to justify their decisions, yet existing XAI methods remain difficult to integrate without custom engineering in every project. This post outlines how an MCP‑enabled explainability service can provide a clean separation between agent logic and XAI, enabling reusable, governed, and audience-aware explanations across the enterprise.
Enterprises increasingly expect AI agents to justify their decisions, yet existing XAI methods remain difficult to integrate without custom engineering in every project. This post outlines how an MCP‑enabled explainability service can provide a clean separation between agent logic and XAI, enabling reusable, governed, and audience-aware explanations across the enterprise. Read More Technology Blog Posts by SAP articles
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