The ground truth from production software, unlocked for your AI agents
End-to-end operational context for AI
Skip raw telemetry, New Relic Ground Truth is a unified operational substrate for your agents:
- Gain single-call context for telemetry, dependencies, and changes
- Stop triangulating—replace multiple queries with one curated insight
- Enable agents to assess the business impact of incidents and remediation paths
Reduce AI cost and complexity
Stop burning tokens. Shift the heavy lifting to New Relic and give your agents battle-tested answers in fewer calls:
- Stop endless agent round trips, eliminate repetitive basic queries
- Slash token and API costs by delivering a single curated insight instead of half baked answers
- Accelerate AI investigations using pre-correlated live system data to lower MTTx
The trust layer for agentic automation and AI
Give your AI agents a governed foundation to confidently automate workflows at enterprise scale:
- Run agents through your existing auth and RBAC to block new attack surfaces
- Surface the reasoning behind AI recommendations to build trust in autonomous decisions
- Deliver analyzed conclusions instead of raw telemetry to stop conflicting actions
Learn more about New Relic Ground Truth, Autopilot, and New Relic Autonomous Operations
New Relic Ground Truth FAQs
Ground Truth the trusted operational intelligence layer for autonomous operations. It continuously connects telemetry, dependencies, incidents, changes, services, and business context into unified operational understanding that AI systems and engineering teams can trust. By grounding AI in real operational context, New Relic Ground Truth enables more accurate recommendations, safer automation, and faster operational decisions.
AI is only as reliable as the operational context it receives. Without complete and trusted context, AI recommendations can be incomplete, inaccurate, or difficult to explain. New Relic Ground Truth enriches telemetry with operational relationships, historical changes, ownership data, dependencies, and business context, giving AI agents the information they need to make accurate, explainable, and trustworthy recommendations and actions.
New Relic Ground Truth provides the trusted operational foundation required for autonomous operations. By giving AI systems a unified understanding of applications, infrastructure, services, incidents, and business dependencies, organizations can automate investigations, recommendations, workflows, and operational actions with greater confidence, governance, and control.
Traditional CMDBs and knowledge graphs provide static inventories or manually maintained relationships that can quickly become outdated. New Relic Ground Truth continuously builds and updates a real-time operational understanding using live telemetry, dependencies, incidents, changes, and business context. Instead of documenting your environment, it reflects how your systems actually operate, giving AI and engineering teams trusted operational intelligence they can act on.
New Relic Ground Truth continuously connects telemetry, application and infrastructure dependencies, incidents, deployments, configuration changes, ownership information, and business context into a single operational model. This unified understanding helps teams and AI systems see how changes in one part of the environment affect the rest of the business.
New Relic Ground Truth enriches AI with trusted operational context rather than isolated telemetry. By understanding relationships between services, infrastructure, recent changes, historical behavior, ownership, and business impact, AI can generate more accurate recommendations, provide explainable reasoning, reduce hallucinations, and automate with greater confidence.
New Relic Ground Truth is designed to work across your existing technology stack. Through open standards, including MCP, it provides trusted operational intelligence to New Relic AI, third-party AI assistants, automation platforms, and engineering workflows. This allows organizations to extend operational context across their AI ecosystem without replacing existing tools.