Moving an e-commerce engineering org to AI-driven delivery

The challenge

The organisation shipped through a traditional development process: releases were slow, quality was inconsistent, and engineers spent too much time on repetitive work. Leadership wanted to adopt AI-driven delivery but had no playbook, no tooling standard, and understandable concern about quality and developer buy-in.

Our approach

We started with an assessment of the existing software-development lifecycle, then introduced AI assistance at the points where it adds the most value — keeping senior engineers firmly in control of architecture and quality. We piloted with one squad, proved the gains, then rolled out with training and clear guardrails.

• AI-assisted code generation and review integrated into the existing IDE and pull-request flow.
• Automated test generation and AI-supported QA to raise coverage without slowing teams down.
• New CI/CD pipeline with quality gates, so AI-generated code is held to the same standard as any other.
• Enablement: hands-on training, prompt and review guidelines, and an internal centre of practice.
• Phased rollout — pilot squad first, then department-wide — with metrics tracked at every step.

Technologies used