Service for Omaha mid-market leadership
AI strategy for Omaha mid-market — board-level work
AI as a strategy decision, not a software decision. The work that moves the AI conversation from "which tools should we buy" to "what does our work look like in three years if AI is part of the team."
Text Rosey · Schedule a call →How we run this in Omaha
Same method anywhere; the local context shapes the work.
- Frame the strategic question — 'where in our work is the highest-yield problem AI could actually solve over three years?' before getting to tools or vendors.
- Map the future-state work — what does each major function look like if AI is part of the team in 12, 24, 36 months. Not aspirational; concrete.
- Identify the wedge — the workflow that produces the first compounding win. Sequence subsequent work from there.
- Build the governance scaffold — board oversight, executive accountability, named functional ownership. McKinsey 2025: 28% of orgs have CEO-level AI governance, only 17% have board-level.
- Set the sequencing — 30/60/90 for the wedge; 12-month roadmap for the function-level expansion; 24–36 month roadmap for enterprise transformation.
- Surface the people-narrative implications — what changes for whom, and how leadership commits to it.
What you get
- Written AI strategy document, board-ready (20–35 pages)
- Three-year work-state-evolution map per affected function
- Governance scaffold with named owners and review cadences
- First wedge selection with measurable outcome targets
- Three-year sequencing plan with intentional decision points
- Board-presentation deck aligned to the written strategy
90-day shape
Plan · Weeks 1–2
Weeks 1–3: leadership interviews, current-state audit, future-state framing workshops.
Build · Weeks 3–10
Weeks 4–10: drafting strategy in iterative review cycles with leadership, board pre-reads, refinement.
Train · Weeks 11–13
Weeks 11–13: board adoption, executive alignment, rollout-handoff to operations leadership for the wedge work.
FAQ — from Omaha leaders
- How is this different from ai-readiness-assessment?
- Different altitude. Readiness assessment is operational diagnostic — what's missing for the next rollout. Strategy work is executive-level direction — what does this organization look like in three years if AI works. Sometimes a readiness assessment surfaces that strategy work is needed first; sometimes strategy work surfaces specific readiness gaps.
- Why is this board-level, not just executive-level?
- McKinsey 2025 found 28% of AI-using organizations report CEO-level AI governance and only 17% report board-level. The gap matters. Companies whose AI direction lives only in the executive layer tend to underweight long-term governance and overweight short-term efficiency. Board-level treatment elevates the conversation to strategic decisions about the work itself, not just operational decisions about tooling.
- What if our board doesn't yet understand AI?
- Common. Part of strategy work is bringing the board up to speed enough to make informed decisions — without making it a tutorial. The strategy document and presentation should put the board in a position to govern AI as a matter of corporate direction, not technical detail.
- How long does the strategy work take?
- Roughly 13 weeks for a full mid-market engagement. Faster engagements (4–6 weeks) are possible if leadership has already done much of the framing work and the assignment is to write down and structure what's already understood. Slower engagements happen when the strategic question is genuinely contested at the leadership level.
- Does AI strategy get easier in year two?
- Yes. The first strategy cycle is the hardest because the future-state framing is new to the organization. Subsequent annual strategy refreshes are mostly about adjusting sequencing in response to what's actually shipped, what regulators have published, and what AI capability has matured. Year two strategy work is typically 30–50% of the year-one effort.
Sources
- About 6% of organizations qualify as 'AI high performers' — those attributing 5%+ EBIT impact to AI — The state of AI in 2025: Agents, innovation, and transformation, McKinsey & Company (QuantumBlack, AI by McKinsey), 2025
- AI high performers are nearly 3x as likely as others to say their organizations have fundamentally redesigned individual workflows — The state of AI in 2025: Agents, innovation, and transformation, McKinsey & Company (QuantumBlack, AI by McKinsey), 2025
- 28% of AI-using organizations report the CEO is responsible for overseeing AI governance — The state of AI in 2025: Agents, innovation, and transformation, McKinsey & Company (QuantumBlack, AI by McKinsey), 2025
- Only 17% of organizations report the board takes direct responsibility for AI governance oversight — The state of AI in 2025: Agents, innovation, and transformation, McKinsey & Company (QuantumBlack, AI by McKinsey), 2025
- Only 7% of nonprofits report major improvements in mission impact from AI — The 2026 Nonprofit AI Adoption Report, Virtuous and Fundraising.AI, 2026
- 21% of C-suite respondents feel GenAI is already transforming their organization vs. 8% of non-C-suite respondents — Now decides next: Generating a new future — State of Generative AI in the Enterprise Quarter four, Deloitte AI Institute, 2025
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