New Relic launches agentic platform for no-code AI automation in enterprise observability

New Relic has introduced new enterprise-grade Agentic Platform capabilities designed to help organisations build, deploy, and manage AI agents directly within their observability environments. The platform is positioned as a no-code solution that allows site reliability engineering and operations teams to move beyond passive monitoring towards active, automated task execution at scale.

The Agentic Platform is part of the New Relic Intelligent Observability Platform and is aimed at enterprises grappling with increasing software complexity. As modern application environments grow more distributed and dynamic, traditional rule-based automation systems are struggling to keep pace. New Relic argues that this gap has left many teams stuck in reactive operational cycles, where manual intervention dominates day-to-day work.

According to industry estimates cited by the company, engineers spend around 33% of their time on reactive firefighting, limiting capacity for innovation and feature development. While agentic AI is widely viewed as a potential solution, adoption has been constrained by skills shortages, implementation complexity, and concerns over trust, testing, and governance. New Relic’s approach focuses on lowering these barriers by embedding agentic capabilities directly into the observability stack used by operations teams.

Democratising agentic AI for SRE and operations teams

At the core of the Agentic Platform is a no-code agent builder designed for domain experts rather than data scientists or machine learning engineers. Using visual, drag-and-drop tools, SREs and operations leaders can capture institutional knowledge and design workflows without writing code. These workflows can range from simple, single-task automations to more sophisticated, multi-step agentic processes.

Brian Emerson, Chief Product Officer at New Relic, said organisations increasingly recognise the value of agentic AI but struggle to operationalise it. “As software complexity outpaces human ability to manage it, businesses recognise agentic AI is the solution but run into a talent and trust wall during complex implementations,” he said. “Our enterprise-grade Agentic Platform caters to the needs of both domain experts and technical operators, democratising AI for the entire organisation. We’re eliminating the barriers that keep true AI-driven automation out of reach and allowing teams to confidently create a custom, autonomous AI workforce to augment their teams.”

In addition to the no-code builder, the platform includes a set of pre-built agents intended to accelerate adoption. These out-of-the-box agents are designed to deliver immediate operational value and provide reference patterns for teams developing their own custom agents. New Relic positions these as a way to shorten time to impact while reducing the risk associated with early experimentation.

A dynamic agent runtime underpins these capabilities, enabling AI agents to handle multi-step reasoning and adapt to novel or complex failure scenarios. Rather than relying on static scripts, agents can apply dynamic logic to investigate incidents, correlate signals, and execute remediation actions with minimal human intervention. This capability is intended to support environments where failure modes are unpredictable and cannot be fully captured through predefined rules.

Governance, trust, and enterprise readiness at scale

New Relic has placed strong emphasis on governance and control, reflecting broader enterprise concerns around autonomous systems. The Agentic Platform includes a unified AI orchestration layer that acts as a central command centre for managing agents at scale. From this interface, organisations can control deployment, coordinate workflows, and oversee the full automation lifecycle across teams and environments.

The platform supports the Model Context Protocol, enabling secure access to tools and systems, and integrates natively with New Relic Workflow Automation. Enterprise-grade governance is provided through fine-grained role-based access control and audit logging, allowing organisations to define who can create, modify, and deploy agents, and to track their actions over time.

To address trust and reliability, New Relic has embedded an evaluation engine that continuously tests agent performance. This mechanism is designed to validate behaviour before and during deployment, helping organisations build confidence in autonomous actions. The company positions this continuous evaluation as essential for moving from assisted automation to true autonomous operations.

Industry analysts see governance as a defining factor in the success of agentic AI initiatives. Stephen Elliot, Group Vice President at IDC, said the shift towards agentic automation is increasingly visible at the executive level. “Agentic AI is now a boardroom conversation as executives face relentless pressure to decrease manual toil and accelerate growth,” he said. “For developers, SREs and DevOps teams, the opportunity for agentic automation is clear: it’s about moving from reactive monitoring to autonomous resolution.”

Elliot added that long-term advantage will depend on disciplined deployment. “The real winners will be enterprises that deploy these agents within a robust governance framework. Those who can ensure agents make accurate, compliant decisions at scale will revolutionise their observability strategies and unlock a new level of operational efficiency.”

The New Relic Agentic Platform is available in preview for customers as part of the New Relic Intelligent Observability Platform, with broader availability expected as feedback from early adopters informs further development.