AI strategy and roadmap

Know which AI investments to make first, and which to skip.

Every firm has more AI ideas than budget. We interview your people, assess your data and systems, weigh value against risk, and give leadership a sequenced roadmap they can fund with confidence, with governance built into the plan from the start.

What would you fund first?Illustrative examples
Fund first Build readiness first Quick wins Park for now Readiness: data, people, systems, governance → Business value →
Your first three, in order
    For leadership teams at
    The problem

    Plenty of AI ideas. No agreement on what comes first.

    Vendors pitch tools every week. A few enthusiasts are experimenting on their own. The partners or the board want to know what the plan is, and nobody can say which initiatives will pay off, what the organization is ready for, or what could go wrong.

    The usual answer is a workshop with the five loudest people in the room. It produces a list, not a decision. Six months later, the pilots have stalled and the budget is gone.

    A good strategy answers four questions, in writing, with the evidence behind each answer.

    The four questions a strategy should answer
    Where can AI create meaningful value for us?
    What are we actually ready to pursue?
    What could go wrong, and who is accountable?
    What do we do first, and what do we skip?
    What makes this different

    Built by people who have had to execute the plan.

    We hear from the whole organization

    Partners and executives, but also associates, staff, and operations teams, through interviews and short surveys. The best opportunities usually sit with the people doing the work.

    Risk is scored alongside value

    Every opportunity is assessed for confidentiality, regulatory, and security exposure, not only for return. In regulated industries, that often changes the order.

    Readiness is measured, not assumed

    We look at your data, systems, skills, and governance. If an idea is valuable but you are not ready, the roadmap says what has to happen first.

    Written by former CIOs and CTOs

    Our principals have spent more than 20 years running technology in professional services. We write roadmaps we would be willing to be held accountable for.

    How it works

    Four phases, from open questions to a funded plan.

    A typical engagement takes six to eight weeks. Select a phase to see what happens and what you receive.

    Find where the opportunities really are.

    We interview leaders and practitioners across the organization, run a short survey, and map the workflows that consume the most time and carry the most risk. We also find out where AI is already in use.

    You walk away with: a long list of opportunities in the words of the people who raised them, and an inventory of current AI use.
    • Leadership and practitioner interviews
    • Organization-wide AI survey
    • Workflow and pain-point mapping
    • Shadow AI inventory
    • Vendor and tool landscape review
    How we score opportunities

    Five questions for every idea on the list.

    The same criteria apply to every opportunity, so the ranking holds up when someone asks why their idea isn't first.

    CriterionWhat we askWhat we look at
    Value
    How much does this save, earn, or protect?
    Hours recovered, revenue affected, error and write-off rates, client or patient impact.
    Feasibility
    Can this be built or bought at a sensible cost?
    Available tools, integration effort, vendor maturity, and implementation time.
    Readiness
    Do we have what it needs today?
    Data quality and access, systems, skills, and executive sponsorship.
    Risk
    What could go wrong, and how badly?
    Confidentiality, regulatory and ethics exposure, security, and reputational impact.
    Adoption
    Will people actually use it?
    Who changes how they work, how much, and whether they asked for it.
    What you receive

    Five deliverables, written for decision-makers.

    Clear enough for the board, detailed enough for the team that has to carry it out.

    1. AI opportunity assessment

      Every opportunity we found, scored and explained, including the ones we recommend against.

      For the team
    2. AI readiness report

      Where your data, systems, skills, and security stand today, and what needs to change.

      For IT and operations
    3. Governance gap analysis

      The policies, controls, and oversight your priorities require, and what is missing.

      For risk and compliance
    4. Prioritized roadmap

      A sequenced 12 to 18 month plan with owners, budget ranges, and success measures.

      For leadership
    5. Executive summary

      A short, board-ready case for the plan, with the reasoning behind each priority.

      For the board
    What comes next

    Strategy is the first step, not the last.

    The roadmap is written so we can carry it out with you, or so your team or another partner can.

    Decide

    AI strategy and roadmap

    Know what to fund first and why.

    You are here
    Govern

    GovernanceLift™

    Put policy, controls, and oversight in place before launch.

    Explore governance
    Build

    Implementation

    Data readiness, workflow automation, and modernization, delivered and measured.

    Explore implementation
    Lead

    Fractional CXO

    A fractional CIO, CTO, or Chief AI Officer to keep the plan on course.

    Explore leadership
    Get started

    Three ways to begin.

    Workshop1 day

    AI strategy workshop

    A working day with your leadership team to align on goals, surface the obvious opportunities and risks, and leave with a short list and a 90-day plan.

    Book a workshop
    Assessment3–4 weeks

    AI readiness assessment

    Discovery and readiness only: where you stand on data, systems, security, skills, and governance, with the highest-value opportunities identified.

    Request an assessment
    Full engagement6–8 weeks

    AI strategy and roadmap

    All four phases, ending with a prioritized roadmap, governance gap analysis, and board-ready executive summary.

    Discuss a roadmap
    Common questions

    What leadership teams ask us most.

    Have a question that isn't here? Call us at 347 674-1471.

    We already know what we want to do. Do we still need a strategy?
    Maybe not a full one. If you have a clear priority, a readiness assessment and governance review may be enough to confirm you can do it safely. We'll tell you if a full roadmap isn't worth it.
    How much of our team's time does this take?
    Typically an hour or two for most interviewees, a short survey for the wider organization, and a few working sessions with the leadership team. We do the analysis and writing.
    Are you tied to particular AI vendors?
    No. Recommendations are based on your needs, your existing systems, and your risk tolerance. Where a vendor relationship exists, we disclose it.
    What if the answer is "not yet"?
    Then the roadmap says so, and explains what needs to be true first, whether that's cleaner data, a governance policy, or a security fix. A clear "not yet" saves more money than a rushed pilot.
    Can you carry out the roadmap too?
    Yes, through governance, implementation, and fractional leadership. But the roadmap is yours, written so any capable team can execute it.

    Turn your AI ideas into a plan you can fund.

    Tell us where your organization is today. We'll suggest the right starting point, whether that's a one-day workshop or a full roadmap.

    Start with strategySee all services