Nearform have been different from day one. Open source at their core, open-minded in how they work, and drawn to the hard problems others avoid. This makes them built for the AI-native engineering era, bringing together data, engineering, and design experts who move fast and focus on what matters: progress you can see and outcomes you can trust.

Solvers by nature and helpers by design, Nearform use engineering excellence to create experiences that last for customers, employees, and developers alike. They deliver AI-natively engineered products that enhance experiences, turning complexity into momentum. If it’s right for a business, they deliver it. If it’s not, they’ll say so plainly.

With a team of 500 experts distributed across more than 20 countries, Nearform have earned the trust of leaders at Lululemon, Sun Life, Starbucks, Travelex, Virgin Media O2, and Walmart

Nearform

Copilot has shown what AI can do for individual productivity. But AI assistants alone do not scale delivery, modernise legacy systems, or change how enterprises build software.

In this Impact talks session, QuantumBlack, AI by McKinsey and Nearform look beyond tooling to what it really takes to industrialise AI in the enterprise.

**Dave Kerr (QuantumBlack, AI by McKinsey)** explores the emerging frontier of agentic workflows operating in production, and what this shift means for delivery models, operating speed, and competitive advantage.

**Nearform’s Cian Clarke & Katie Roberts** will then ground that vision in today’s reality, sharing real-world lessons from brownfield systems, where teams are applying spec-driven development, senior-led AI-native practices, and AI-assisted workflows to modernise existing platforms and build intelligent systems safely.

This session is about moving from tools to repeatable, enterprise-grade delivery, without increasing risk or creating AI debt.

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**What you’ll take away**

*   What “agentic AI in production” really means
*   How delivery models are evolving for intelligent systems
*   How to modernise existing platforms safely using AI-assisted workflows
*   The role of senior engineers in AI-native engineering teams
*   How to build intelligent systems without creating AI debt

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**Why attend?**

Because the gap between organisations using AI assistants and those engineering it into delivery is already growing. This session shows how to close it.
