AI-Assisted Delivery

Making AI work in your delivery process

AI tools are everywhere. Coding assistants, automated code review, AI-driven testing, intelligent documentation. But most teams either ignore them, use them superficially, or adopt them without thinking about how they fit into the existing workflow.

I help engineering teams integrate AI where it actually matters: in the daily work of building and shipping software. Not as a gimmick, but as a multiplier for quality and speed.

This is hands-on work. I pair with developers, review how they use (or don’t use) AI tools, and help them build habits that stick. We look at where AI reduces friction - writing tests, reviewing pull requests, generating documentation, exploring unfamiliar codebases - and where it creates new risks that need guardrails.

The goal isn’t to replace anyone’s judgment. It’s to free up time and attention for the work that actually needs human thinking.

What this covers

• Evaluating which AI tools fit your tech stack and delivery process
• Pair programming sessions to build effective AI-assisted workflows
• Prompt engineering for development tasks (code generation, testing, review)
• Setting up guardrails: code review policies, quality checks, and security considerations
• Measuring impact on delivery speed, code quality, and developer experience
• Training teams to get consistent, reliable value from AI assistants