Industry watchers believe that vision will take some time to become a reality across enterprise organizations.
“Every organization is a snowflake in its adoption curve and readiness timeline,” says Stephen Elliot, global group vice president at IDC. “IT behavioral change is one of the most underreported requirements for agentic AI adoption. Trust is the required ingredient.”
New Relic also expanded its Digital Experience Monitoring suite to support micro frontend (MFE) architectures, where web applications are broken into smaller, team-managed components. Engineers can now monitor every component and collect metrics on performance timing, errors, renders, and lifecycle methods to trace how dependencies affect the end-user experience. Separate agentic AI monitoring capabilities add a service map of agent-to-agent interactions and drill-down traces for individual agents and tools, which New Relic says will address a visibility gap as multi-agent deployments grow.
IDC’s Elliot says the business-outcome framing is an industry-wide trend, but that New Relic’s extension of digital experience management into revenue intelligence is meaningful. “Every vendor needs to communicate value in both technology and business terms,” he explains. “One is no longer enough.”
Elliott also says New Relic’s hybrid OpenTelemetry approach, which lets customers use OTEL instrumentation without separate collector infrastructure, is increasingly table stakes for enterprise buyers. “OTEL is here to stay, and its adoption continues to increase. It is increasingly a product requirement to support as more enterprises make it part of their observability strategies,” Elliot says.
Intelligent Workloads is available as a preview for users of New Relic’s transaction monitoring solution, Transaction 360. The remaining capabilities are available in preview to all New Relic platform users.
