Friday, February 27, 2026
As enterprises accelerate their adoption of AI agents, technology providers are rolling out platforms that help organizations build, deploy, and monitor these agents with greater control and reliability. In response to this growing demand, New Relic has introduced its own no-code AI agent solution, designed to simplify deployment while addressing enterprise concerns around oversight, governance, and operational stability.
The newly unveiled New Relic Agentic Platform enables businesses to create AI agents specifically tailored for data observability. Rather than serving as a broad, all-purpose AI framework, the platform focuses on monitoring data streams to detect bugs, anomalies, and system disruptions before they impact applications or customer experiences. Companies can deploy prebuilt agents or manage existing bots within a centralized control layer, thereby gaining unified visibility across their AI operations.
In addition, the platform supports the Model Context Protocol (MCP), which allows AI applications to connect seamlessly with external data sources and integrate directly with other New Relic observability tools. As a result, enterprises can ensure that AI-driven monitoring operates within a cohesive and well-governed ecosystem.
Importantly, New Relic has positioned the Agentic Platform as a specialized, outcome-driven solution rather than a one-size-fits-all AI offering. Chief Product Officer Brian Emerson clarified that the company’s objective is not to compete broadly in the AI platform space. Instead, New Relic aims to deliver focused agent-building capabilities for observability use cases while enabling integration with other AI tools already present in the enterprise stack. In essence, the company intends to enhance and complement existing AI investments rather than replace them.
The launch arrives amid a surge in AI agent management platforms. As enterprises increasingly grant AI systems access to sensitive data and mission-critical systems, concerns around reliability, transparency, and governance have intensified. Major industry players have already entered the market with similar offerings, reflecting the growing recognition that structured agent platforms are essential for enterprise AI adoption. Gartner has even described such platforms as “necessary infrastructure,” underscoring their strategic importance.
Beyond the Agentic Platform, New Relic also announced enhancements to its OpenTelemetry (OTel) capabilities. Given that OTel has become a widely adopted open-source observability framework, enterprises often face fragmentation challenges when managing multiple telemetry sources. To address this, New Relic has embedded OTel functionality directly into its application performance monitoring (APM) agents. Consequently, businesses can now manage OTel data streams alongside other telemetry sources within a unified environment.
Furthermore, New Relic introduced centralized fleet management for OTel collectors. According to Nic Benders, New Relic’s chief technology strategist, managing OTel collectors has proven burdensome for many engineering teams. By centralizing oversight and streamlining operations, New Relic reduces operational friction and enhances visibility across distributed systems.
Overall, these innovations reflect a broader strategy: make enterprise AI adoption more practical and less intimidating by combining intelligent AI agents with strong observability, governance, and operational control.
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