AI in the SDLC: From experimentation to real-life delivery impact
Most teams are experimenting with AI in software delivery, but adoption is often fragmented — individual tools, isolated prompts, and inconsistent outcomes. What’s missing is a delivery model where AI is embedded into the SDLC in a way that’s repeatable, governed, and aligned with strong engineering practices.
At this live event in New York, the Equal Experts North American team will demonstrate what AI looks like when it becomes part of the delivery system itself — not bolted on as a productivity shortcut.
Through a guided, end-to-end demo, we’ll walk through an agent-supported, shift-left delivery workflow, showing how AI can support teams from early feature intent through to build, quality, and ongoing code context— while keeping engineers firmly in control.
Who this event is for?
Software engineers, tech leads, and delivery practitioners working in modern software development environments
Engineering managers and product leaders responsible for how teams build and deliver software
Teams already experimenting with AI who want to understand how it fits into real delivery workflows
Speakers
Andy Vays, Technical Principal
Andy Vays is a Technical Principal at Equal Experts, where he focuses on applying AI pragmatically across the software development lifecycle to drive real delivery impact. With over 15 years of experience spanning software engineering, enterprise architecture, and large-scale digital transformation, Andy has led complex CRM, billing, data, and cloud modernisation programmes for both high-growth and enterprise organisations.Before joining Equal Experts, Andy led major platform transformations at Rent.com and co-founded an AI-focused startup aimed at accelerating digital transformation. Today, his work centres on agent-driven delivery approaches that help teams move faster, reduce risk, and improve quality—grounded in an execution-first mindset that turns AI from experimentation into repeatable, real-world outcomes.
Chris Rooney, VP of Engineering
Chris is a seasoned professional in all area's of the SDLC with over 25 years of industry experience across most of the major verticles. Lately Chris is been leading delivery assurance for complex large scale transformations at big clients where he had to do everything from defeining archtiecture to liasing with C-Suite stakeholders to make sure the outcomes and scope were realistic and important to the clients. At the moment Chris is working internally to define our AI approaches to verious real business problems that we beleive can be improved by using Gen AI tooling and Equal Experts AI approach.