AI can make commerce engineering faster. Whether it makes it better depends on the governance around it: who reviews the output, what data it sees and who stays accountable for the result.

Faster engineering, human responsibility

We use AI to reduce repetitive engineering effort. Experienced people remain responsible for architecture, security, review, testing and delivery quality. AI changes the delivery model - not the need for expertise.

Where AI helps

  • Technical discovery - analysing code, dependencies, logs and integration behaviour.

  • Implementation support - accelerating scaffolding, mappings and repetitive development patterns.

  • Testing and diagnosis - generating test coverage and supporting debugging with senior oversight.

  • Documentation - creating clearer technical, operational and handover material.

Four boundaries

Human review: AI-assisted output is reviewed, tested and governed before release. Data care: client code and data are handled according to agreed security and confidentiality controls. Appropriate use: AI is used where it improves delivery and avoided where risk, privacy or quality make it unsuitable. Client ownership: the delivered code, documentation and implementation remain part of the client solution.

What governance looks like day to day

Senior engineers define the architecture before delivery accelerates. AI-assisted work is treated as assisted work, not automatically accepted work: it goes through the same review and testing as anything else, and someone experienced is accountable for it.

Questions to ask any partner using AI

  • Who reviews AI-assisted output, and how?

  • What client code and data can AI tools see, and under what controls?

  • Where do you choose not to use AI?

  • Who owns the code and documentation that result?

Uncontrolled and governed AI-assisted delivery

Uncontrolled AI development

Code without architecture or review creates risk, and short-term speed can create long-term debt.

Governed AI-assisted delivery

Experienced engineers define the system first, and all AI-assisted output is reviewed, tested and governed.