New Relic unveiled the Agentic Platform, a no-code, enterprise-grade solution to build, deploy, and manage AI agents and agentic workflows at scale, with a focus on data observability to detect issues early.

The platform supports the MCP protocol and integrates with New Relic tools, enabling deployment of pre-built agents and management of existing bots.

The platform seeks to deliver tangible observability outcomes by connecting customers with an ecosystem of tools and devices they already use.

The platform supports a practical observability stance, offering centralized control and governance for AI agents, with an emphasis on enabling domain experts to build useful solutions.

Key features include a no-code drag-and-drop agent builder, pre-built agents like SRE Nerd, dynamic multi-step reasoning, and unified AI orchestration for centralized control.

Governance and security are central, with model context protocol for secure tool access, native integration with New Relic Workflow Automation, fine-grained RBAC, audit logging, and an evaluation engine to test agent performance.

New Relic positions agentic AI as a solution to reduce manual toil, speed incident resolution, and improve operational resilience through autonomous, multi-step automation in production.

Industry context shows growing demand, with Gartner predicting AI agents in a significant portion of enterprise apps by 2026.

The announcement was unveiled at a TechCrunch event in Boston on June 9, 2026, highlighting Salesforce and OpenAI-like moves into enterprise-grade AI agents.

The platform emphasizes observable outcomes over generic capabilities and aims to fit into customers’ existing observability ecosystems, not as the sole supplier but as a builder of capabilities for enterprises.

OTel integration is central, easing onboarding of OpenTelemetry data for enterprises and allowing centralized management of OTel data to reduce fragmentation.

OpenTelemetry enhancements enable APM agents to ingest OTel data streams alongside other sources, addressing fragmentation within the OTel ecosystem and introducing OTel-focused devices.