AI Readiness Bootcamp
Four weeks, embedded in your organisation. We train engineers, product and operations to use Claude Code, Codex and agentic workflows on your real codebase and your real work.
The curriculum
Six modules, shaped around your stack. Every session is hands-on, in your repositories and your tools, never slides about the future.
We sit with your teams, map how work gets done today and score your AI maturity. The curriculum is shaped to what we find.
Tools set up in your environment, wired into your repositories, tickets and docs, with sensible guardrails from day one.
Live labs on your real codebase and real tasks. Engineers build with agents. Product and ops automate their own work.
We measure what changed, fix what is not sticking and hand over an internal playbook your team owns.
How large language models behave, how to brief them well, and when to reach for AI versus writing it yourself. Hands-on with Claude Code and Codex from the first hour.
Cursor, Windsurf, Cline and GitHub Copilot in daily use. Inline chat, multi-file edits and shipping a feature end to end with an AI pair.
Agents that plan, reason and act. Claude Code agent mode, custom tools, MCP servers and multi-step automation your team can trust.
Product, design and operations learn to analyse data, draft reports, automate workflows and build internal dashboards without writing code.
Prompt injection, secure coding with AI, reviewing AI-written code, and the guardrails that keep agents out of trouble in production.
Connect AI to the business with n8n, Zapier and Make. Remove manual steps across sales, support, operations and engineering.
Who it is for
All levels. From first prompts to agents that write, test and review code in your repo.
Prototype faster, analyse feedback and write sharper specs with AI doing the legwork.
Generated tests, smarter pipelines and incident triage with AI in the loop.
Set the standards, guardrails and review habits that keep AI-written code healthy.
Automate the repetitive work across support, finance and operations without waiting on engineering.
A clear view of where AI is paying back, what it costs and what to fund next.
What you walk away with
Our trainers work inside your organisation, onsite in Sydney or fully remote.
Shaped to your stack, run as live labs on your real codebase and tasks.
Your standards, prompts, guardrails and review habits, written down and owned by you.
We stay on call for a month after the bootcamp so new habits stick.
Ways to run it
One delivery team, four weeks, labs on your own codebase.
Fixed fee per cohort
Book a 30-min callEngineering, product and operations trained together, so habits spread across teams.
Scoped on a call
Book a 30-min callThe bootcamp alongside an AI readiness assessment and the architecture for your first production use case.
Scoped on a call
Book a 30-min callStart a conversation
Tell us the size of your team, the tools you use today and when you want to start. We will come back with a shaped curriculum and a fixed fee.
We reply within one business day.
Questions
No. Engineers get the deepest track, but product, design, operations and support each have their own, built around their daily work.
Either. We run it onsite in Sydney or fully remote, and mix the two when teams are spread out.
Claude Code and OpenAI Codex at the core, plus Cursor, Windsurf, Cline, GitHub Copilot and automation tools like n8n, Zapier and Make. We follow your stack.
Yes. Labs run on your repositories and real tasks, with guardrails agreed up front. That is why the skills stick.
You keep the internal AI playbook and get 30 days of support. If you want to go further, we can follow on with an AI build or architecture engagement.
Book a 30-minute call. We will ask about your team, your stack and your goals, then shape a bootcamp around them.