AI Strategy

The Technical Definition

An AI strategy is the set of explicit choices a company makes about where AI fits in the business, what it’s for, what it’s deliberately not for, how it will be funded, and how it will be governed. A real AI strategy contains tradeoffs. It names the use cases the company will pursue, the ones it’s skipping, the ones it will build internally, and the ones it will buy from vendors. It specifies who decides, who pays, and who is accountable for the outcome.

A strategy without tradeoffs is not a strategy. It’s a wishlist.

What This Actually Means for Your Business

Most “AI strategies” you’ll see in a small-cap or mid-cap company are decorative. They list every place AI could plausibly help, declare the company “AI-first,” and assign nothing to anyone. They get presented to the board, filed in the shared drive, and quietly ignored while the actual work is procurement-led: someone in IT signs a Microsoft Copilot contract, someone in marketing signs a Jasper contract, someone in sales signs a Gong contract, and a year later you have eleven AI tools and no coherent answer to where the company is actually going.

A real AI strategy looks different. It has fewer bullet points and harder edges. It says: we will concentrate AI investment in two value pools — underwriting and claims — for the next eighteen months. We will not pursue marketing AI in this period. We will build the claims model in-house because the data is proprietary and the moat matters. We will buy underwriting tooling from a vendor because the problem is well-understood and speed beats ownership. We will fund this with $4M reallocated from the existing IT budget. The CFO and the COO are jointly accountable. The AI Council reviews progress quarterly.

That’s a strategy. It can be argued with. It can be wrong. But it can also be executed.

The reason most companies don’t write a strategy this concrete is that the choices are uncomfortable. Naming what you’re not doing creates losers in the executive team. Naming a budget creates a CFO conversation. Naming an accountable executive creates a career-defining outcome. Decorative strategies avoid all three.

Reality Check

What the deck says: “We will deploy AI across all functions to drive efficiency, customer experience, and growth.”

What that means in practice: Nothing has been chosen. Nothing has been deprioritized. No budget has been allocated. No one is accountable. The deck is a vibe, not a plan. Twelve months from now, the company will have spent money on AI without being able to point to a single business outcome it caused.

What Operators Actually Do

The CEOs who get this right do three things differently. First, they write the strategy themselves, with help, but not by delegation. The choices are CEO-level choices because they involve cross-functional tradeoffs only the CEO can make. Second, they pair the strategy with a target operating model so the strategy has somewhere to land. Strategy without a TOM is a wishlist; a TOM without a strategy is busywork. Third, they treat the strategy as a living set of bets, not a one-time deliverable. The bets get reviewed quarterly. Bad ones get killed. Good ones get more capital.

The pattern that fails: hiring a consulting firm to write the strategy, accepting the deck without ownership, and assuming the firm’s framework substitutes for actually making the choices. The framework is fine. The choices still have to be yours.

The other pattern that fails: confusing tool adoption with strategy. Rolling out Copilot to 5,000 seats is a procurement decision, not a strategy. The strategy question is what the company is trying to become, and what AI’s role is in becoming it.

The Questions to Ask

1. What are we explicitly not doing? A strategy that doesn’t name what you’re skipping is a wishlist. If everything is in scope, nothing is prioritized.

2. Who is accountable for the outcome, and what does success look like in twelve months? Not “we’ll deploy AI.” A measurable outcome — claim cycle time down 30%, underwriting capacity up 40% — owned by a named executive.

3. What’s the funding model, and what are we cutting to pay for it? If the AI program has no incremental budget and nothing is being deprioritized to fund it, the strategy will lose to the operating plan every quarter.