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White Paper

Build Trust in Agentic Systems: Take Your AI From Experiment to Production

Build Trust in Agentic Systems: Take Your AI From Experiment to Production

Build Trust in Agentic Systems: Take Your AI From Experiment to Production

MongoDB
Pages 21 Pages

This white paper provides a four-step framework for moving agentic AI from proof of concept to trusted production use. The framework covers Foundation, Verification, Governance, and Outcomes. Foundation combines retrieval-augmented generation, agent memory, and deep observability to ground actions in current data. Verification introduces Agent Confidence Scores and Business Risk Scores to quantify uncertainty and consequences at runtime. Governance uses risk-based guardrails, expert feedback, audits, and human intervention to control autonomous actions. Outcomes connect AI activity to ROI, DORA, ITSM, risk, latency, quality, and customer metrics. MongoDB and Voyage AI are positioned as a unified foundation for context, vectors, memory, traces, analytics, and accountable enterprise AI opera

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