AI Strategy & Advisory Canberra
A clear-eyed AI strategy for Canberra leadership teams — readiness assessment, a prioritised roadmap, build-vs-buy guidance and ROI you can take to the board. Delivered as a 4–6 week advisory project or an ongoing retainer by Rye Smith, Australia's Claude Ambassador.
Built for the people who decide
This is an advisory engagement for leaders — the executives, founders and boards accountable for getting AI strategy right.
Executives & C-suite
CEOs, COOs and functional leaders who need a defensible AI position — not a pilot that goes nowhere.
Founders & leadership teams
Founders deciding where AI fits the strategy, and leadership teams that need to align on a single plan.
Boards & investment committees
Directors who must govern AI risk and fund it wisely — and want the strategy explained in board language.
Six outcomes that move the strategy forward
Not a research report. A decision-ready AI strategy your leadership team can fund and act on.
An honest read on AI readiness
A structured assessment of where your organisation actually stands — data maturity, tooling, governance, culture and the leadership appetite to back AI decisions.
A prioritised use-case shortlist
Every plausible AI opportunity mapped and scored by value, effort and risk — so your leadership team backs the right bets instead of the loudest ones.
A sequenced 12-month roadmap
Quick wins, strategic bets and the dependencies between them — a board-ready roadmap that shows what to do this quarter and what to stage for later.
Build-vs-buy clarity
Clear guidance on when to build, when to buy and how to evaluate vendors — including how to avoid lock-in and keep optionality as the market moves.
ROI models you can defend
Business cases with measurable targets and realistic assumptions — the numbers a CFO will accept and a board will fund.
A board-ready AI narrative
The story, slides and talking points to communicate AI strategy upward — so directors understand the plan, the risk posture and the payoff.
Five stages, one defensible strategy
A structured 4–6 week advisory engagement — combining executive workshops with the analysis behind each recommendation.
Stage 01
AI Readiness Assessment
We establish where you actually stand before recommending anything.
- Current AI capability, tooling and data maturity audit
- Culture and change-readiness — appetite, skills and blockers
- Governance, risk and data-handling posture review
- Stakeholder interviews across the leadership team
- A clear-eyed baseline: strengths, gaps and constraints
Stage 02
Use-Case Discovery & Prioritisation
Every plausible opportunity mapped, then scored so the right ones rise to the top.
- Opportunity mapping across functions and the value chain
- Scoring each use case by value, effort and risk
- Separating genuine impact from AI theatre
- Working sessions to pressure-test priorities with leadership
- A ranked shortlist your team agrees on
Stage 03
Competitive & Opportunity Roadmap
A sequenced 12-month roadmap balancing quick wins against strategic bets.
- A 12-month roadmap with clear phasing and milestones
- Quick wins that build momentum and internal confidence
- Strategic bets sequenced against capability and dependencies
- Competitive scan — where rivals are moving and where you can lead
- Resourcing and capability implications for each phase
Stage 04
Build vs Buy & Vendor Guidance
Clear guidance on what to build, what to buy and how to choose vendors.
- Build-vs-buy decision framework for each priority use case
- How to evaluate AI vendors and platforms objectively
- Avoiding vendor lock-in and protecting future optionality
- Total-cost-of-ownership and integration considerations
- A shortlist of credible vendors mapped to your roadmap
Stage 05
ROI Modelling & Board Communication
Business cases and a board narrative that turn the roadmap into funded action.
- ROI models and business cases for priority initiatives
- Measurable targets, realistic assumptions and payback timing
- Risk framing — what could go wrong and how it is managed
- A board-ready deck communicating the AI strategy
- Talking points to align directors and secure investment
The AI strategy landscape for Canberra leaders
Canberra's AI strategy conversations are unlike anywhere else in Australia because the buyer is the Commonwealth. Federal agency leaders across the Parliamentary Triangle, Barton and Russell are setting AI strategy inside a framework of public accountability, the government's own AI assurance and transparency expectations, machinery-of-government change and the procurement rules that govern every significant spend. For a Canberra agency executive — or a contractor selling into one — AI strategy is inseparable from governance and procurement: the question is not only what AI should do, but how it can be adopted defensibly, transparently and through a process that will withstand audit and parliamentary scrutiny.
That makes Canberra a procurement-first market. An agency cannot simply select a vendor; it must run a process that satisfies the Commonwealth Procurement Rules, evaluate against panels and value-for-money tests, and document the reasoning. Data sovereignty, security classification and the Protective Security Policy Framework shape what is even possible. And the defence and national-security organisations around Russell add a further layer of constraint. Canberra leadership teams need an AI roadmap where governance, assurance and procurement are designed in from the start — and contractors need a strategy that maps cleanly onto how government actually buys.
An AI Strategy & Advisory engagement in Canberra begins with a readiness assessment covering data, security posture, governance and capability, then prioritises use cases against value, effort, risk and the public-accountability bar each must clear. We deliver a 12-month roadmap sequenced so lower-risk, clearly assurable applications come first and sensitive ones are staged carefully, build-vs-buy guidance aligned to Commonwealth procurement and panel arrangements, a vendor shortlist that can realistically be engaged through compliant processes, and ROI models and an executive narrative suited to agency leadership, audit committees and ministerial briefing.
Rye Smith
Claude Ambassador for Australia & Lead Workshop Trainer
Rye is Australia's Claude Ambassador and an AI strategist who has helped thousands of professionals understand and ship with Claude. He runs hands-on, classroom-style workshops in every capital city — demystifying Claude Code, Claude Coworker, and the agentic workflows that are reshaping how Australian teams work.
Claude Ambassador for Australia
Anthropic-recognised community lead
Certified Claude Code trainer
Hands-on agentic workflows since 2024
n8n Ambassador (APAC)
Cross-tool automation expert
1,000+ professionals trained
Workshops in 11 Australian cities
Engagement details
Duration
4–6 week project
Format
Advisory + workshops
Engagement
Project or retainer
Delivery
On-site Canberra or remote
Deliverable
Prioritised AI roadmap
Decision-makers
Board & C-suite
Need your Canberra team upskilled too?
Strategy sets the direction — capability delivers it. Pair the advisory engagement with hands-on Claude training for the teams who will execute the roadmap.
Frequently asked questions
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Ready to set your Canberra AI strategy?
A 4–6 week advisory engagement — readiness assessment, prioritised roadmap and a board-ready business case.
From A$4,500 for the assessment-and-roadmap project · ongoing advisory retainers priced on application.