Building an AI strategy for your industry
Start by writing one, 63% of firms have not. Inventory your proprietary knowledge, pick the highest-pain vertical use case, address the pricing-model implications, and run it through a 90-day roadmap rather than buying tools ad hoc.
From no strategy to a written one
A vertical AI strategy starts with your knowledge assets and a single high-value use case, explicitly handles the billable-hour question, and follows a phased roadmap. Skipping the written strategy is why most adoption stalls.
The 63% of firms without a written AI strategy are the ones whose adoption stays stuck at experimentation. A strategy does not need to be long, it needs to name the proprietary knowledge you will unlock, the one high-pain use case you will ship first, how you will handle the pricing-model implications, and the governance the vertical requires. Then run it through a disciplined 90-day roadmap. Firms that structure adoption this way report meaningfully higher ROI than those buying tools reactively.
Frequently asked questions.
How detailed does the strategy need to be to start?
A single page is enough to begin: the knowledge asset to unlock, the first use case, the pricing implication, and the governance guardrails. Detail grows as you ship. The point is to move from reactive tool-buying to a deliberate sequence, which is exactly what the 63% without a strategy are missing.