From AI experiments to enterprise standard: how New Relic made AI stick

When we started working with iForAI, we were looking for more than just high-level guidance – we needed a partner who could dive in, understand our platform, and help us move fast. They began by deeply immersing themselves in our product and organization. Within a short time, we had identified dozens of AI use cases across teams.

What impressed me most was how quickly we were able to go from ideas to impact. Several use cases were built and pushed to production at a pace that's uncommon in environments as complex as ours. iForAI brought a rare mix of technical depth, product thinking, and business intuition. That combination allowed them to help us prioritize the right use cases – not just what was interesting, but what mattered. On top of all of that, they were simply a joy to work with, day in and day out. They became a trusted extension of our team, and their contributions played a real role in helping us build momentum and deliver results.

Scaling AI adoption beyond isolated teams

As a global observability technology company, New Relic recognized AI as a critical strategic lever, but faced a common enterprise challenge: AI efforts were fragmented, exploratory, and largely limited to specific teams.

New Relic's leadership needed a clear AI strategy, a prioritized roadmap of high-impact use cases, and a way to drive adoption across both technical and non-technical roles. Without structure, AI risked remaining experimental rather than becoming a sustainable competitive advantage.

A structured, end-to-end AI transformation with iForAI

iForAI partnered with New Relic on a multi-phase AI transformation journey, guiding the organization from discovery to execution and enterprise-wide adoption.

AI discovery and strategy
Within the first two months, iForAI mapped dozens of AI opportunities across New Relic's products and operations, providing leadership with strategic guidance and a clear AI vision.

AI use case prioritization
Over 60 AI use cases were identified, evaluated, and prioritized using a structured framework aligned with New Relic's business impact and feasibility goals.

AI development and production delivery
Between months 3 and 8, iForAI worked closely with New Relic's internal AI development teams to build and ship multiple AI use cases into production.

Global AI Hackathon
iForAI led a global AI Hackathon at New Relic that included non-R&D teams, dramatically increasing AI literacy and hands-on adoption across the organization. Staff familiarity with AI tools and technologies increased by 36% across all roles.

Strategic M&A advisory
As New Relic's AI maturity grew, iForAI became a trusted strategic advisor, supporting AI-related considerations during M&A transactions.

From AI experimentation to industry leadership

The transformation positioned New Relic as an AI adoption leader within the observability and enterprise technology space.

Key outcomes included:

• A clear, prioritized AI roadmap aligned with New Relic's business strategy
• Organization-wide AI adoption beyond engineering teams
• Multiple AI use cases successfully shipped to production
• Increased internal AI capability and executive confidence at New Relic

The year-long journey culminated in external recognition, with New Relic's CEO named "AI CEO of the Year" - reflecting the organization's leadership in enterprise AI adoption.

With iForAI's guidance, AI evolved at New Relic from isolated experimentation into a core, enterprise-wide strategic capability.