Executive AIMasterclasses for// EnterpriseAdoption

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    Move your leadership team from AI awareness to adoption decisions, portfolio priorities, governance guardrails and a concrete 90-day action plan.

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    Design an enterprise cohort →
    Scroll · For CXOs & BU heads · 4-hour, 1-day & multi-cohort formats
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    The leadership problem

    AI adoption isn't a tools problem anymore.

    It's blocked by leadership translation: where AI changes the economics, which opportunities deserve investment, what risks need guardrails, and how teams should act in the next 90 days.

    From
    Awareness
    Through
    Prioritization
    To
    Funded action
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    The method

    Learn. Apply. Reflect.

    Senior leaders don't need a course. They need a facilitated decision environment. No module ends with only learning — every module ends with an artefact or a commitment.

    01 · Learn

    Build shared AI leadership language

    The three waves of AI, agentic workflows, AI-native competition, value pools and governance — framed for executive conversation, not classroom theory.

    02 · Apply

    Convert frameworks into business decisions

    Teams work on their own functions using the disruption radar, portfolio map, opportunity canvas and 90-day planner — no hypothetical case studies.

    03 · Reflect

    Commit to accountable 90-day action

    Challenge assumptions, surface risks, define owners and leave with a sponsor-ready plan carrying metric, sprint cadence and go/no-go logic.

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    What your team leaves with

    Decisions, not decks.

    Every session converts strategic conversation into tangible outputs a sponsor can fund, govern and measure.

    AI Disruption Radar

    Map competitive threats and value creation opportunities on a Watch / Protect / Accelerate / Transform grid.

    AI Portfolio Map

    Score impact, feasibility, risk, data readiness & time-to-value.

    Opportunity Canvas

    Sponsor-ready: user, metric, data, risks, controls, owner.

    Governance & risk lens

    Data, privacy, hallucination, human-in-the-loop, kill-switch criteria.

    90-day Action Plan

    Owner · metric · three 30-day sprints · ask.

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    Formats

    Four ways to run it.

    90–120 min

    Boardroom AI Briefing

    Executive committee or board-level orientation

    • Strategic narrative
    • AI-native risk lens
    • Investment questions
    4 hours

    AI Adoption Masterclass

    CXO teams, senior leaders, business heads

    • Shared AI language
    • Disruption radar
    • 90-day commitment
    Flagship
    1–2 days

    Functional AI Adoption Lab

    One business unit or function (Sales, HR, Finance, Ops, Tech)

    • Function opportunity portfolio
    • Opportunity canvas
    • Pilot plan
    2 weeks blended

    Enterprise Masters Cohort

    Multiple cohorts across business and technology leadership

    • Cross-functional themes
    • Use-case backlog
    • Sponsor-ready plans
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    Run of show

    A 4-hour session, choreographed for decisions.

    Most time is spent on your business context, not technology demos.

    Pre-work
    30-min pre-read
    Shared baseline & 2–3 AI reflections from each function.
    0:00–0:20
    Opening & leadership context
    Frame AI as enterprise adoption and business-model change.
    0:20–1:05
    Module 1 · AI landscape
    AI waves and AI-native vs AI-enabled competitive gap.
    1:05–1:35
    Activity · Disruption Radar
    Map competitive threats and value creation opportunities.
    1:35–2:15
    Module 2 · Strategy & ROI
    From ideas to portfolio prioritization and business value.
    2:15–2:45
    Activity · Portfolio Mapping
    Score and nominate one opportunity to fund.
    2:45–3:15
    Module 3 · Governance
    Bring risk, guardrails and ownership into the plan.
    3:15–3:40
    Activity · Opportunity Canvas
    Convert one use case into a sponsor-ready canvas.
    3:40–4:00
    90-day plan & commitments
    Outcome, owner, sprints, risks and the ask.
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    Built for

    The leaders in the room.

    CXOs & Business Heads
    AI Councils
    Transformation Leaders
    Product Leadership
    Operations Leadership
    Risk & Compliance
    Technology Leadership
    CHRO & L&D
    Chief Data / AI Office
    Strategy & Innovation
    Digital Officers
    Board Members
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    Quality bar

    Vague ambition, out. Fundable plans, in.

    We separate ideas that sound good from experiments that can prove value in 90 days.

    AI use case
    Use AI in customer service.
    Reduce repeat customer tickets by 20% using an AI assistant that retrieves policy and case history for support agents.
    Value
    Improve productivity.
    Save 600 analyst hours per quarter by reducing manual report preparation by 40%.
    Data
    Data is available.
    Named sources, quality issues, access rights, refresh cadence and sensitivity level.
    Risk
    We will manage privacy.
    Named risks, guardrails, human approval points and kill-switch criteria.
    Owner
    Business and IT jointly.
    Executive sponsor, working owner and review cadence.
    Enterprise engagement

    Align your leaders on AI adoption.

    Speak to ADaSci to design your first Masters cohort — customised to your industry, function, maturity and leadership audience.

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