Most teams already have access to capable AI tools. The gap is in how they are used: inconsistent setups, no shared context, unclear rules about what agents can touch, and no way to tell whether any of it is working.
I help teams close that gap. I build AI infrastructure day to day at Speakeasy, where we work on governing how enterprises use agents, MCP servers, and Skills, and I build my own coding agent harness, AgentLink. That hands-on experience shapes practical advice your engineers will actually adopt.
Who it's for
- Engineering teams whose AI tool usage has grown ad hoc and uneven
- Leaders who need AI adoption to be secure, auditable, and measurable
- Companies about to roll out coding agents beyond a handful of early adopters
What you get
- A clear AI tooling strategy and rollout plan
- Shared agent configuration: AGENTS.md, skills, MCP servers, and hooks
- Guardrails for access, data, and review that your security team can sign off on
- Engineers trained in AI directed development workflows
How I can help
Help your teams get real value from AI tools and coding agents, with the guardrails to do it safely.
AI Adoption Strategy
Find where AI will actually move the needle, choose the right tools and models, and plan a rollout your teams will use.
Coding Agent Rollout
Set up Claude Code, Codex, Cursor, and harnesses like AgentLink with shared AGENTS.md, skills, MCP servers, and review practices.
AI Governance & Security
Guardrails for agent access, data exposure, prompt injection, and auditing, informed by building an enterprise AI Control Plane.
Team Training & Workshops
Hands-on workshops on AI directed development, so engineers ship faster without giving up quality.
Ways to work together
Advisory Retainer
A few hours a month of on-call advice, reviews, and decision support.
Enablement Sprint
A focused engagement of a few weeks to roll out AI tooling and workflows across a team.
Fractional Leadership
One or two days a week as your CTO or engineering lead, embedded with your team.
Project Delivery
Scoped builds of agents, MCP servers, and AI features, delivered end to end.
Frequently asked questions
What is AI enablement?
AI enablement is the work of helping an organisation use AI effectively and safely: choosing tools, setting up shared configuration and guardrails, and training people so AI becomes part of how work gets done rather than a scattered experiment.
Which AI coding tools do you work with?
Claude Code, OpenAI Codex, Cursor, GitHub Copilot, and agent harnesses such as AgentLink, along with MCP servers and skills. Recommendations are tool agnostic and based on your team, codebase, and security requirements.
How long does an AI enablement engagement take?
Most start with an enablement sprint of a few weeks to set up tooling, guardrails, and training, followed by an optional advisory retainer while the new practices settle in.
Do you work with teams outside Australia?
Yes. I'm based in Cairns, Queensland, and work remotely with teams worldwide.
Let's talk about where you are
Based in Cairns, working remotely with teams worldwide. Tell me what you're working on and we'll work out whether I can help.
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