Without the Hype

    AI Product Strategy

    Most AI projects fail before a line of code is written — unclear use cases, poor data readiness, or no measurable goal. I help you figure out where AI genuinely moves the needle for your business, and build the roadmap to get there.

    The Approach

    01

    Opportunity Assessment

    Identify where AI can create measurable business value — not where it's technically possible, but where it changes a real outcome.

    02

    Readiness Analysis

    Assess data quality, process maturity, and team capability to determine what's achievable and in what timeframe.

    03

    Use Case Prioritisation

    Score and rank AI opportunities by ROI potential, implementation complexity, and strategic alignment.

    04

    Roadmap & Requirements

    Translate the prioritised use cases into a phased roadmap with clear requirements your team can act on.

    What You Get

    • AI opportunity assessment and use case prioritisation matrix
    • AI readiness report (data, process, and team assessment)
    • AI strategy roadmap with phased implementation plan
    • Build vs. buy vs. partner recommendation
    • MVP requirements and success metrics
    • Governance and risk considerations

    Common Questions

    What is AI strategy consulting?

    AI strategy consulting identifies where AI can create genuine business value, assesses organisational readiness, selects the right tools and approaches, and builds a roadmap for implementation. It combines data analysis, process design, and change management to ensure AI initiatives deliver measurable ROI.

    How do I know if my organisation is ready for AI?

    Readiness depends on three factors: data quality and availability, process maturity, and team capability. An AI readiness assessment maps each of these and identifies the gaps to address before any build begins — avoiding expensive false starts.

    Do you implement AI, or just advise?

    I focus on strategy and requirements — defining what to build and why, selecting the right vendors or models, and writing the specifications your engineering team needs. I don't write production code, but I bridge the gap between business vision and technical delivery.

    How long does an AI strategy engagement take?

    A focused AI opportunity assessment typically runs 2–3 weeks. A full strategy engagement from assessment through roadmap and requirements usually takes 4–8 weeks depending on the complexity of your data landscape and stakeholder ecosystem.

    Let's talk AI

    Book a free 30-minute discovery call

    Bring your AI challenge — unclear use cases, a stalled initiative, or a blank slate. We'll figure out the right next move together.