Board & ExCo AI Strategy Sessions

Facilitated strategy sessions for boards and executive committees navigating AI transformation. Move from scattered pilots to strategic clarity on where AI creates value — and where it creates risk.

Board Strategy Facilitation AI Investment Decisions Risk & Governance

Why Boards Need This Now

AI is a board-level strategic decision — not a technology project to delegate. Yet most boards lack the frameworks to evaluate AI investments, governance structures, and dependency risks.

These sessions equip boards and executive committees with the mental models, decision frameworks, and risk visibility needed to govern AI transformation with confidence. We translate technical complexity into business strategy.

What You Get

Half-Day or Full-Day Facilitated Session

Structured workshop with board members and C-suite. Agenda tailored to your strategic priorities: AI investment decisions, governance frameworks, or risk assessment.

Pre-Session Strategic Brief

One-week pre-work including industry AI landscape, competitor positioning, regulatory horizon, and internal AI maturity snapshot. Delivered as board pack.

Decision Frameworks & Mental Models

Practical frameworks for evaluating AI investments (value-at-stake, time-to-value, reversibility), assessing governance structures, and managing strategic trade-offs.

Post-Session Action Plan

Documented decisions, action items, and next steps. Clear accountability, timelines, and follow-up governance cadence.

Session Formats

AI Investment Strategy

Focus: Where to place AI bets, how to prioritize initiatives, and what business levers AI can unlock.

Output: Prioritized AI portfolio with quantified value-at-stake, risk profiles, and funding recommendations.

AI Governance & Risk

Focus: How to govern AI at scale, manage regulatory compliance, and embed risk oversight without slowing teams down.

Output: Governance operating model, risk appetite statement, and board-level reporting framework.

AI & Strategic Autonomy

Focus: Technology sovereignty, vendor dependency, and geopolitical risks embedded in your AI stack.

Output: Dependency risk map, sovereignty checklist, and mitigation options (multi-cloud, sovereign cloud, build vs. buy).

AI Operating Model Design

Focus: How to organize for AI — centralized AI hub, federated model, or hybrid. Roles, decision rights, and capability building.

Output: Target operating model, org design options, and capability roadmap.

Who This Is For

Ready to Bring Strategic Clarity to Your Board?

Let's design a session that moves your leadership from AI uncertainty to strategic confidence.

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