78% of enterprise AI strategies fail because they solve the wrong problem. The technology works — your process doesn\'t. Here\'s the 3-question filter that catches strategy gaps before they become pilot failures.

Why Your Strategy Is Wrong

Most AI strategies look like this: identify a use case, build a roadmap, allocate budget, start implementation. The error isn\'t in the steps — it\'s in the starting point. Teams begin with technology, not outcome. They build AI to solve problems they think exist, not problems that actually exist.

78% of AI initiatives don\'t reach production. Not because the technology fails. Not because the teams lack skill. Because the problems they were solving weren\'t problems at all — or weren\'t the right ones.

The Problem Forward Trap

Problem forward means starting with \"We need AI\" and working toward specific use cases. It\'s backwards from how value is created. The correct direction is problem backward: find measurable outcomes, then determine if AI can solve them better than humans.

Teams that problem forward build AI search for solutions. Teams that problem backward find solutions that solve actual problems. The first approach generates projects. The second generates value.

3 Questions That Fix Your Strategy

Before spending a single dollar on AI, answer these:

  1. What measurable outcome would make today\'s work obsolete? If the answer requires months of development, you have a real problem. If the answer is \"nothing,\" your AI strategy won\'t move the needle.
  2. Who currently solves this, and what do they value most? AI that reduces time costs but breaks quality nobody cares about creates more work than it solves.
  3. What\'s the minimum viable outcome? Start with what actually moves the needle, not what looks impressive on a slide.

One Last Thing

AI strategy isn\'t about technology adoption. It\'s about outcome optimization. The technology is table stakes — the question is what you\'re optimizing for, and whether AI actually delivers it better than humans doing the work today.

78% of failures happen because the \"strategy\" was really just a technology plan without proof that the problem mattered. Fix your problem framing, and your AI strategy fixes itself.