AI strategy is the new digital transformation strategy — long decks, expensive consulting engagements, marginal outcomes. The companies actually winning with AI did not write a strategy first. They built workflows and measured. Here is what to do instead.
Most AI strategy engagements produce a 50-page deck describing a 24-month transformation roadmap with "AI maturity" tiers, "AI center of excellence" recommendations, and "governance frameworks." The deck looks good. Nothing changes.
The reason: AI value comes from workflow-level changes, not enterprise-level strategy. The 50-page strategy is too abstract to drive any specific action.
Skip the 6-month strategy phase. You do not need a strategy document. You need 3-5 specific workflows deployed and measured.
Start with one function, one month. Pick the function with the highest pain. Deploy 2-3 AI workflows in 30 days. Measure outcomes.
Expand based on what worked. Month 2: another function, using lessons learned. Month 3: cross-functional integrations.
The "strategy" emerges from execution. After 90 days of execution, you have a real strategy — grounded in what worked at your company, not what consultants speculated.
You are 1,000+ employees in regulated industry. Multi-business-unit coordination requires upfront alignment.
You have a specific M&A or product launch tied to AI. Strategic framing matters when it intersects with major corporate moves.
Your board is asking for a written AI strategy. Sometimes the document is the point. Just be honest about its purpose.
Everyone else: skip strategy, build workflows. See the 90-day AI rollout playbook.