New Relic unveils Agentic Platform to build and deploy AI agents for observability at scale

New Relic Enters Competitive AI Agent Platform Market

New Relic has joined the growing field of companies offering platforms to build and deploy AI agents, unveiling its Agentic Platform designed specifically for data observability use cases 1

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. The no-code AI agent platform allows enterprises to create custom AI agents that monitor company data to detect bugs and issues before they impact products, addressing a critical pain point as application complexity continues to outpace traditional automation 2

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The platform enters a market where Salesforce launched Agentforce in late 2024 and OpenAI introduced OpenAI Frontier earlier this year. Research organization Gartner has identified such agent platforms as "necessary infrastructure" for enterprise AI adoption, predicting that 40% of enterprise apps will feature AI agents by 2026 1

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Tackling Manual Toil and Operational Friction

The New Relic Agentic Platform addresses a significant challenge facing engineering teams: engineers lose 33% of their time to reactive firefighting, preventing them from focusing on innovation or feature development 2

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. The platform enables organizations to automate complex investigations and remediation tasks with minimal human intervention, leading to faster incident resolution and improved operational resilience.

Brian Emerson, New Relic's chief product officer, emphasized that the company isn't positioning itself as a general-purpose agent platform. "We're building it for outcomes that we care about inside observability," Emerson told TechCrunch. "It's also a world that allows us to work with the rest of the ecosystem or tools that exist out there, but bring it back into the context of problems we're trying to solve around our personas and the observability domain" 1

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Enterprise-Grade Features for Observability at Scale

The platform delivers several capabilities designed for enterprise production environments. It includes pre-built agents such as the SRE Nerd that provide immediate value and accelerate adoption for SREs and operations teams 2

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. A dynamic agent runtime enables AI agents to handle multi-step reasoning and adapt to complex failure scenarios, while unified AI orchestration provides a centralized command center to manage agents at scale.

The platform supports the Model Context Protocol (MCP), which connects AI applications to external data sources, and integrates with other New Relic tools including Workflow Automation 1

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. Enterprise-grade governance features include fine-grained Role-Based Access Control (RBAC) and audit logging, addressing concerns about giving AI agents access to sensitive data and software.

A built-in evaluation engine continuously tests agent performance to ensure reliability and build trust for autonomous action. The no-code solution allows domain experts to capture knowledge and create visual agentic workflows without requiring extensive AI expertise 2

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OpenTelemetry Tools Address Enterprise Adoption Barriers

Alongside the Agentic Platform, New Relic unveiled OpenTelemetry tools aimed at accelerating enterprise tech adoption of the open-source observability framework. The company's Application Performance Monitoring (APM) agents now include OpenTelemetry (OTel) capabilities, allowing enterprises to manage OTel data streams alongside other data sources in one unified location 1

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This addresses a fragmentation problem that has hindered mass enterprise adoption of the OTel framework. "Just send your OTel data to us," said Nic Benders, chief technology strategist at New Relic. "What we've discovered in this process is that it's kind of a burden for a lot of teams out there in the world to run all of the OTel [data] collectors. So having a OTel like fleet management is something that's very important" 1

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The New Relic Agentic Platform is now available in preview to customers as part of the New Relic Intelligent Observability Platform 2

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. As enterprises navigate the shift from passive observation to active task execution through governance-backed automation, the platform's focus on reducing manual toil while maintaining security controls positions it to address key concerns holding back widespread AI agent deployment in production environments.