MOVE 2

Your First Win Should Be Messy – And Meaningful.

Don’t aim for perfect. Aim for visible, valuable progress.

AI pilots often fail. Not because the technology doesn’t work, but because the problem doesn’t matter.

Too many first attempts are designed to look good, not do good. They chase low-hanging fruit, abstract demos, or polished proofs of concept that live in a deck but never reach the people doing the work.

It’s easy to fall into that trap. You want something small and safe. But if it’s too disconnected from real operations (or too easy to ignore) it won’t build confidence, buy-in, or clarity. It becomes just another innovation effort that doesn’t land.

That’s why your first win shouldn’t just be small. It should be messy – and meaningful.

What does that look like?

A good first win sits at the intersection of three things:

  • It solves a real, felt problem. Something a team is already struggling with. Not a hypothetical improvement.
    It’s imperfect but useful. The data may be noisy. The automation may only cover part of the process. That’s fine. As long as it helps.
  • It’s visible to stakeholders. The impact shows up in the work, not just the metrics.

This kind of win may not be elegant, but it’s credible. And credibility is what earns you the right to do more.

Avoid the “vanity pilot” trap

Vanity pilots often sound strategic, but they don’t affect real work. They’re optimized for presentation value, not business value.

Here’s how you know you’re drifting into that zone:

  • The problem isn’t clearly owned by a business team.
  • Success is measured by completion, not outcomes.
  • No one’s asking, “What happens if this works?”

In contrast, valuable pilots solve something someone already cares about. They create new clarity. They free up time, reduce uncertainty, or improve prioritization in a tangible way.

And maybe most importantly, they lead to follow-up questions.

A strong first win doesn’t close the conversation. It opens a new one: “Could we also apply this here?” or “What if we connected this to X?” That’s where the real momentum starts.

MOVING FORWARD

TRY THIS NEXT 👇

Use the Opportunity Mapping worksheet to identify key processes that are frustrating, repetitive, or slow. Then ask your team:

  • If we made this 10–20% better, who would feel the difference immediately?
  • Could we support this with prediction, classification, or light automation—even if it’s not perfect?
  • If this improvement quietly disappeared tomorrow, who outside the team would complain?
If the answer is “someone would notice – and care,” you’re looking at a small win with real gravity. You're on the right track. 
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