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Claude Code Consulting · New Zealand

Claude Code consulting for teams who want the speed without the mess

AI coding agents like Claude Code genuinely change how fast software gets built — and they reward teams who set them up deliberately. Nelson AI helps NZ teams adopt Claude Code with the guardrails that matter: review discipline, verification habits, and workflows the whole team shares, not one developer's private setup.

Independent advice — Nelson AI is not affiliated with Anthropic, and will say so when a different tool fits your stack better.

I

Who this is for

Who this is for

This is for businesses that build or maintain their own software — in-house teams, agencies, or a technical founder — where AI coding tools are either being trialled chaotically or avoided out of caution. Both cost you; this work fixes the setup rather than the slogan.

  • Developers using AI assistants individually, with no shared standards on review or testing.
  • A backlog that outgrew the team, where hiring is not the preferred answer.
  • Legacy systems nobody enjoys touching, where careful AI assistance can de-risk changes.
  • Leads worried about code quality, security, and 'who actually wrote this' questions.
  • Teams choosing between Claude Code, Codex, Copilot and others without a way to compare them on their own work.

II

Problems solved

Problems this work typically solves

  1. 01

    A team setup, not a personal one

    Shared project configuration, prompts, and conventions checked into the repo — so the agent works the same for everyone and new starters inherit the setup instead of reinventing it.

  2. 02

    Guardrails that match how you ship

    Pre-merge checks, review rules, and verification habits sized to your risk: a marketing site and a payments system should not have the same rules, and pretending otherwise kills adoption.

  3. 03

    An honest read on where agents help

    Some work is perfect for coding agents; some still is not. You get a clear map of which parts of your codebase and backlog benefit, measured on your code rather than vendor benchmarks.

If your developers are already experimenting, the gap between chaos and compounding is a deliberate setup.

Book a call

III

First engagement

What a first engagement looks like

Honest scope: a useful first engagement runs a few weeks alongside your normal delivery, on your real repositories — not a slideware assessment.

  1. 01

    Set up on one real repository

    Project configuration, permissions, and conventions tuned to your codebase, with the team's existing workflow — branching, review, CI — respected rather than replaced.

  2. 02

    Ship real work through the new setup

    A handful of genuine backlog items go through the agent-assisted workflow with the team watching and steering, so the judgement transfers, not just the config.

  3. 03

    Write down what your team now knows

    The conventions, the review rules, and the honest list of what not to use agents for — owned by your team. If the conclusion is that the tooling is not ready for your context, that goes in writing too.

IV

Other paths

When another path is better

  • If your team prefers a different agent or already lives in another ecosystem, Codex CLI consulting covers the same ground for that tooling.
  • If you do not have developers and need software built for you, custom web apps is the right door.
  • If the question is broader than coding tools, start with AI consulting and work out where the leverage actually is.

V

Questions

Frequently asked questions

Is AI-generated code safe to ship?
With the right review and testing discipline, yes — that discipline is most of what this engagement installs. Code that skips review is a risk however it was written; agents just raise the volume, which is why guardrails come first.
Will this make our developers worse?
Used lazily, it can. Used well, developers spend more time on design, review, and the hard ten percent. The setup deliberately keeps humans on the decisions that matter, which is where the craft lives anyway.
What about our code and IP going to a model provider?
Part of the setup is matching plan and settings to your confidentiality needs — what is retained, what is used for training, and what should be excluded. For most NZ businesses there is a workable configuration; you will know the trade-offs before anything is enabled.
We're a small team — is this overkill?
Small teams often get the most from it: the setup is lighter, decisions are faster, and one good workflow can change a two-person team's output meaningfully. The engagement scales down honestly.

Bring a repository and a backlog.

A short call is enough to tell whether Claude Code fits your stack and your risk profile, and what a sensible first few weeks would look like.