ServiceNow Unveils AI Agent Orchestration Framework

The enterprise is finally getting serious about agents, and ServiceNow just raised the bar. By weaving its own knowledge graph and the Model Context Protocol (MCP) into LangGraph, the company has built an orchestration stack that doesn’t just move work between machines; it understands what that work means. Yet one piece of that stack stands out.

LangSmith’s tracing isn’t a nice-to-have, it’s the backbone of agent development. Every input, every output, every token and latency spike gets captured at each node. Debugging becomes a matter of looking, not guessing.

ServiceNow uses that visibility to walk through agent decisions step by step, build golden datasets from successful runs, and prevent regressions. Then there’s the evaluation layer: custom metrics designed for a multi-agent system where standard accuracy scores fall short. This is how you turn agentic chaos into something you can trust.