On-demand webinar download
Senior engineering leaders from McKinsey and Nearform offer a practitioner's view on how AI is being used across the software delivery lifecycle: from discovery through to deployment. Based on real world experience, this session explores what AI adoption really means for team roles, delivery models, and business outcomes for enterprises. Just as digitalisation replaced manual processes, AI is now reshaping how we build and deliver software, and exposing the limits of traditional development. It’s a magnifier, amplifying both strengths and weaknesses. Building enterprise-grade digital products with AI takes more than enthusiasm for new AI tools. It takes experience, discipline, and clarity to get to the value without falling into the traps. The performance gap between teams embracing AI and those holding back is already growing. That gap will only get wider. Webinar date: September 9, 2025 (download recording below)
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Our speakers
Amine Abidi
McKinsey & Company Partner Amine is a Partner and business builder with 20 years of experience in Consumer and Retail Technology and e-commerce. He co-leads McKinsey's EU consumer business building practice and leads Core Tech and Data transformation practice in Europe. He specializes in Digital business building and transformations for SaaS and Software players.
Guillaume Lurenbaum
McKinsey & Company Software Architect After 20 years as a start-up founder with roles of CTO, VP Engineering and Chief Architect then as a freelance consultant for Advanced Industries (Automotive, Naval Construction, BIM), he joined McKinsey to help clients modernize their architectures during Digital Transformations, lead the delivery of innovative Digital & AI solutions and promote Engineering Excellence.
Hélène Haughney
Nearform SVP for Delivery Transformation Hélène is SVP for Delivery Transformation at Nearform and GM for Global Accounts. With 30 years of experience in telecoms, IT, and high-tech industries, she specialises in driving complex product and service delivery at scale. A results-driven leader, she has a proven track record of exceeding targets, optimising service operations, and mentoring high-performing teams. Her expertise spans information development, strategic planning, and business growth through technology-driven transformation.
Sarah Egan
Nearform Technical Director Sarah's most recent projects are Denver's Regional Transit District (RTD) where she led a team of three software developers rebuilding the RTD site with Sanity and Next.js and Figma, where she leads a team building frontend SEO tools. Prior to this, Sarah led a small team migrating Figma's marketing site from Gatsby to Next.js and upgrading their Sanity Studio from v2 to v3. She worked on a greenfield project for Real, a mental health startup, using Typescript and Contentful. She has a breadth of ecommerce experience, having spent a great deal of time working with TechStyle and Warby Parker. Throughout her time as a consultant, she's focused on improving developer experience and delivering accessible, performant code for her clients. Sarah enjoys growing her network and furthering her engineering knowledge through meetups and conferences. Outside of work, Sarah enjoys skiing, mountain biking, reading and camping.
James Malone
Nearform AI Strategy, Product & Design James specializes in bridging traditional design excellence with cutting-edge AI systems and automation. His expertise encompasses collaborating with product teams leveraging agentic workflows and advanced prototyping. As a skilled facilitator and researcher, James leads workshops that answer clients needs and aligns with their customers goals. His proficiency in design thinking, agile methodologies, and AI system design enables teams to rapidly prototype, iterate, and deliver impactful results that push the boundaries of traditional design. In his current role at Nearform, James provides comprehensive design leadership with a forward-thinking approach to AI integration. His responsibilities encompass strategy development, advanced prototyping and innovation processes, intelligent DesignOps implementation, adaptive design systems development, in-depth research on human-AI interactions.
Insight, imagination and expertly engineered solutions to accelerate and sustain progress.