Artificial intelligence is rapidly becoming a force multiplier in modern software delivery, enabling organizations to move beyond surface-level metrics and toward actionable insights that directly impact business outcomes. In this episode of AppDevANGLE, Paul Nashawaty, Principal Analyst at theCUBE Research, sits down with Naveen Kumar, Founder and CEO of , to discuss how AI is reshaping DevOps analytics, streamlining the software development lifecycle (SDLC), and influencing decision-making at scale. According to theCUBE Research, enterprises embedding AI into analytics workflows are twice as likely to derive measurable value from their data initiatives—a gap that seeks to close by turning raw DevOps data into predictive intelligence. By automating analysis and contextualizing KPIs across development and business teams, helps organizations accelerate feedback loops and elevate their software delivery maturity. The conversation dives into why traditional DORA metrics, while useful, don’t tell the full story. Instead, uses AI-driven analytics to uncover the why behind performance trends, reduce reliance on manual analysis, and accelerate decision-making through agentic AI. From standardizing toolchains across sprawling enterprises to compressing release cycles from quarterly to hourly, the episode highlights practical strategies for scaling DevOps consistency and maturity. By integrating with platforms like GitHub, Jira, and Jenkins, helps reduce tool sprawl from 6–15 platforms down to actionable recommendations. As Naveen explains, “Knowing your deployment frequency isn’t enough. AI shows you why it’s happening—and how to fix it.” For organizations seeking to improve lead time for changes, mean time to recovery (MTTR), and alignment between software delivery and business impact, AI is proving to be the missing link between metrics and meaningful insights.