AI strategy that turns fragmented pilots into a board-defensible programme.

78% of enterprises use AI. Only 12% reach leading status in responsible implementation. We help Australian organisations of 200+ employees close that gap with strategies that align technology investment to business objectives and satisfy APRA, ASIC, and Privacy Act expectations.

View engagement models

Built for

Executive teams Chief data & AI officers Heads of strategy CTOs and CIOs Boards
Integrated with: APRA CPS 230 / ASIC REP 798 / Privacy Act ADM (Dec 2026) / Australia's 8 AI Ethics Principles / Voluntary AI Safety Standard (Oct 2025)

Why a coherent AI strategy matters.

Engagement models

Adoption

78%

of enterprises now use AI in some capacity.

Maturity

12%

reach leading status in responsible AI implementation.

Pipeline

61%

of ASIC licensees plan increased AI use in the next 12 months.

Gap

REP 798

ASIC found governance frameworks lagging behind AI adoption.

From scattered pilots to strategic direction.

Most Australian businesses deploy AI across multiple teams without coordinated strategy, governance, or alignment to business value. Three patterns show up repeatedly inside the organisations we work with.

  1. 01

    Fragmented AI initiatives.

    Marketing experiments with generative AI content. Finance trials machine learning forecasting. Operations tests automation. No coordination, no prioritisation framework, and investment spread thinly across small initiatives with limited measurable value or strategic alignment.

  2. 02

    Board cannot answer basic AI questions.

    Directors ask management about AI strategy. Management presents a list of pilots and vendor evaluations. ASIC REP 798 found this gap across 23 licensees, with AI adoption outpacing governance maturity. Boards need a documented inventory, an approval path, a clear escalation route, and a review cadence aligned to risk appetite.

  3. 03

    No view of where to lead or decline.

    Without strategic clarity, organisations react to vendor proposals and competitor announcements rather than executing a coherent plan. The result is wasted investment, team frustration, and digital transformation that never delivers the growth it promised.

Our AI strategy consulting process.

A four-phase methodology that moves from assessment through to activation. Every phase produces tangible deliverables and builds on the previous one, so the strategy is grounded in reality and designed for execution.

  1. 01
    2 to 3 weeks

    Current state assessment.

    We assess AI maturity, existing initiatives, data governance posture, and technology landscape. We map every AI and machine learning system in use, identify shadow AI, and benchmark you against industry peers. Stakeholder interviews surface strategic priorities and appetite for transformation.

  2. 02
    3 to 4 weeks

    Strategy development.

    We develop the strategy: vision and objectives, prioritised use case portfolio, operating model design, and governance structure. Australia's 8 AI Ethics Principles, APRA CPS 230, ASIC expectations, and Privacy Act obligations are integrated from the start, not bolted on later.

  3. 03
    2 to 3 weeks

    Roadmap creation.

    We translate strategy into a phased 12 to 36 month roadmap. Each initiative includes resource requirements, investment estimates, capability gaps, risk considerations, and clear ownership. Quick wins sit alongside longer-term transformation programmes, structured around your budget cycles.

  4. 04
    2 to 4 weeks

    Activation support.

    We support board presentation preparation, stakeholder engagement, capability building programme design, and change management planning. Strategies transition from documents into operational reality, with early successes that demonstrate business value and secure ongoing investment.

Four ways to engage.

Tailored to where your business sits on its AI journey. Every engagement delivers tangible, board-ready deliverables.

Track A 路 Focused

Strategy sprint

4 to 6 weeks

A 4 to 6 week engagement for organisations that need strategic clarity quickly. Ideal when a board deadline, regulatory review, or competitive pressure requires immediate direction. Delivers a focused AI strategy, prioritised use case portfolio, and high-level roadmap.

Best for: rapid strategic direction and a foundation to build upon.

Track B 路 Comprehensive

Comprehensive AI strategy

10 to 14 weeks

Our full 10 to 14 week programme covering all four phases. Includes detailed current-state assessment, comprehensive strategy development, operating model design, technology strategy, governance framework, and detailed implementation roadmap.

Best for: thorough strategy development across all dimensions.

Track C 路 End-to-end

Strategy + implementation

16 to 20 weeks

A 16 to 20 week engagement combining comprehensive strategy with hands-on implementation activation. We stay embedded through initial execution, helping your organisation stand up governance structures, launch priority initiatives, and build internal AI capabilities.

Best for: end-to-end support from strategy through to activation.

Track D 路 Ongoing

Retained advisory

Ongoing monthly

Retained advisory for organisations executing their roadmap. Ongoing strategic guidance, regulatory horizon scanning, quarterly strategy reviews, and ad-hoc support on emerging AI opportunities and challenges.

Best for: continuous strategic guidance after the strategy lands.

Sectors we develop strategy for.

Sector context shapes the prioritisation framework. We integrate the regulatory and operational realities of your industry into every strategy.

Stop reacting to ad hoc AI requests. Build a strategy that holds.

Schedule a consultation to discuss how we can help your business build a comprehensive AI strategy that aligns technology investment with business objectives and satisfies Australia's regulatory requirements. Initial consultation at no obligation.

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