What is an AI strategy?
An AI strategy is a clear answer to a defined set of questions about where AI is taking your market, where your organisation is exposed and defensible, what you will and will not invest in, what work you are deliberately automating and how you will know whether you are succeeding.
It is not a list of AI projects. Most Australian organisations have an AI activity list (a chatbot pilot here, a Copilot rollout there) and call it a strategy. The difference is structural, and compounding. Read the long-form case for why
The Questions
What an AI strategy answers
A useful AI strategy answers five questions. If your current strategy can answer all five with specifics, you have one. If it answers some with generalities, you have an activity list with a cover page.
Where is AI disrupting your industry, and at what speed?
Industries are moving at different velocities. The strategic question is not whether AI matters; it is which fronts are moving fast enough to demand action this year.
How exposed are you, and where specifically?
Exposure is not uniform across an organisation. Some functions face acute pressure from AI-native competitors. Others change little for now. The work is naming which exposures matter most.
What defensibility do you have, and is it the kind that survives AI?
Some assets continue to protect organisations through the AI transition. Others looked defensible but no longer are. Strategy starts with an honest reading of which is which.
What should you invest in, in what order and what does it take?
Strategy without a sequenced execution plan is decoration. The plan needs to specify what comes first, who owns it, what it costs and what success looks like.
Which work is intelligence work AI can automate, and which is judgement work it cannot?
This distinction is operationally decisive. Confusing the two leads to AI investments that fail and human investments that are wasted.
The Components
What an AI strategy includes
A complete AI strategy is delivered as a connected set of artefacts. Each answers a different part of the strategic question. Together they form the board-ready package an organisation can act on.
01
AI Disruption Snapshot
Quantifies your exposure across eight pressure points and names where the disruption is sharpest.
02
AI Disruption Analysis
Deep diagnostic covering industry context, business model exposure, workforce impact and where you are most vulnerable.
03
AI Strategy Canvas
One-page synthesis of your strategic thesis, priority initiatives, capability gaps and the outcomes that define success.
04
AI Transformation Roadmap
Sequenced plan for initiatives, agent deployments and capability investments, with dependencies and owners.
05
AI Executive Presentation
Board-ready 20-slide synthesis of the analysis, canvas and roadmap, formatted for an executive read.
See full deliverable detail or view sample outputs.
Three Approaches
How to develop an AI strategy
There are three credible routes to a developed AI strategy. Each suits different organisations. The choice usually comes down to time available, budget and the level of objectivity the analysis needs.
In-house team
6–18 months · Internal time
Strengths: Deep institutional knowledge, no external spend.
Trade-offs: Slow to assemble, hard to maintain analytical objectivity, competes with operational priorities for attention.
Big 4 consulting
~6 months · ~$350,000
Strengths: External rigour, brand confidence, board credibility.
Trade-offs: Expensive, slow and increasingly hard to justify when AI capability is changing faster than the engagement timeline.
AI-native platform
48 hours · $1,499
Strengths: Consulting-grade methodology, encoded into a platform. Six specialist AI Advisors, calibrated scoring, senior strategist sign-off.
Trade-offs: Best suited where the organisation is ready to move at the platform's pace and value AI-augmented analysis.
Big 4 cost and timing are indicative, based on publicly observable rate cards for engagements scoped as AI strategy or AI readiness work. Individual quotes vary above and below this range.
Our Approach
How myAIstrategy delivers
Consulting-grade methodology, encoded into a platform. Six specialist AI Advisors run calibrated frameworks against real data about your organisation, your peers and your industry. Every paid engagement is reviewed and signed off by a senior strategist before release.
01
Scan
Five minutes from URL to scored AI Disruption Score across eight weighted dimensions. Free.
02
Workshop
A 20–30 minute structured conversation with four AI Advisors who have already studied your scan.
03
Generate and review
Four new deliverables drafted, then reviewed and signed off by a senior strategist. Typically within 48 hours.
04
Walkthrough
A 90-minute Zoom at a time that suits you to talk through the findings and agree first moves.
Full five-phase process · Analytical methodology · Meet the AI Advisors
Explore
Everything about AI strategy on myAIstrategy
The full set of resources covering how we think about AI strategy and how we deliver it. Each page goes deeper into one part of the picture.
Common Questions
AI Strategy FAQ
What is an AI strategy?
A clear answer to a defined set of questions: where AI is taking your market, where your exposure and defensibility actually sit, what you will and will not invest in, what work you are deliberately automating and how you will know whether you are succeeding. It is not a list of AI projects.
How long should developing an AI strategy take?
A Big 4 engagement has historically taken about six months. An in-house team typically takes longer. myAIstrategy delivers a board-ready AI Strategy within 48 hours of a 20–30 minute workshop, reviewed and signed off by a senior strategist before release.
What's the difference between an AI strategy and an AI roadmap?
A strategy answers what to do and why. A roadmap answers when and in what order. The roadmap is one component of the strategy. A complete AI strategy includes the strategic thesis, the diagnostic, the canvas, the roadmap and a board-ready synthesis.
Do small or mid-market organisations need an AI strategy?
Yes. The structural changes AI is creating apply across organisation sizes. Mid-market organisations are often more exposed than enterprises because they have fewer legacy moats and less internal capacity to absorb disruption. They typically benefit most from a structured strategy because the cost of disorganised AI spend is proportionally higher.
More questions? See our full FAQ or get in touch.
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