Summary
This roundtable will focus on practical frameworks and metrics for AI adoption across individuals, teams, and the wider organization. Participants will explore how to enable skills and confidence at all levels, integrate AI effectively into workflows, and set realistic milestones that balance innovation with delivery. The session will combine brief case study share introductions, small-group discussions on enablement, pacing, and measurement, and a collaborative synthesis of a draft “AI Adoption Maturity Framework” with clear, adaptable KPIs. The goal is to leave with actionable insights, measurable success criteria, and a peer network for ongoing progress benchmarking.
Speakers
Manoj is a strategic engineering leader known for transforming how teams build, ship, and scale software. Passionate about enabling engineers to be more productive, creative, and engaged, Manoj has led organizations to deliver products they are PROUD of—Performant, Reliable, Observable, Useful, and Delightful—fueling measurable product growth. With a proven track record in large-scale technology transformations, from modernizing stacks (C# to Node.js, major Django upgrades) to re-architecting systems (monolith ↔ microservices), he has driven ~25% gains in engineering velocity and quality across diverse product teams. Combining deep technical expertise with business acumen, Manoj bridges vision and execution to create scalable, sustainable innovation.
on ELC Annual 2025