The AI Strategy That Never Left the Deck
Most companies have an AI strategy. It lives in a 40-slide PowerPoint, gets reviewed quarterly, and has never shipped a single thing.
Most companies have an AI strategy. It lives in a 40-slide PowerPoint, gets reviewed quarterly, and has never shipped a single thing.
Here’s what that deck usually contains: a vision statement about “leveraging AI to transform operations,” a 2x2 matrix of use cases by impact and feasibility, a note about “responsible AI principles,” and a roadmap with Phase 1 starting next quarter — which it has been for the past three quarters.
This is not a strategy. It’s a performance of having a strategy.
Why It Happens
The deck gets made because someone — usually a C-suite exec — decided the company needed an “AI strategy” after reading a newsletter. It got handed to a team who spent six weeks interviewing stakeholders, mapping use cases, and building a beautiful document that nobody disagreed with because nobody had to commit to anything.
A strategy that doesn’t assign owners, timelines, and resource commitments isn’t a strategy. It’s a hypothesis that was never meant to be tested.
What a Real AI Strategy Looks Like
It’s short. One page, maybe two. It answers three questions:
- What specific problem are we solving first? Not “improve customer experience.” A real problem with a measurable current state and a measurable target.
- What does done look like in 90 days? Not a roadmap phase. A deployed system, in production, with real users.
- Who is accountable when it fails? Name and title. If the answer is “the AI team,” it’ll never ship.
Everything else is noise until those three questions have clean answers.
The Use Case Trap
The deck usually has twelve use cases. Twelve is a way of saying: we haven’t decided. Companies that ship AI choose one use case, declare it the priority, starve everything else of attention until it’s done, and then pick the next one.
Choosing one use case means disappointing three stakeholders who each thought their use case was the priority. That’s not a bug. That’s the job.
The Strategic Alignment Ritual
Most AI strategy processes involve months of “alignment.” Cross-functional workshops. Working groups. Approval layers. By the time consensus is reached, the window has shifted, the vendor has changed their API, and the team that was going to build it has moved on.
Alignment at the wrong altitude is just delay with better branding. You align on the outcome and the owner. Everything else is execution — figure it out as you go.
If your AI strategy hasn’t shipped anything in six months, it’s not a strategy. It’s a document. Delete the deck and write a Jira ticket instead.