Strategy

AI Product Strategy: From Vague Idea to Shipped Product

April 17, 2025 3 min read

Ever sat in a product meeting where someone says, “Let’s use AI to…” and everyone nods, but nobody knows what to do next?

If you’re a product manager or founder, you’ve felt the gap between the AI hype and the reality of shipping features that matter. You know AI can be a game-changer, but most “AI strategies” are too vague, too slow, or just plain overwhelming.

I’ve spent the last year helping teams cut through the noise and turn AI from a buzzword into a real competitive advantage.

The secret isn’t waiting for the “perfect plan.” In the AI space, that’s a recipe for paralysis. Your only option is to start small, move fast, and learn as you go.

In this article, I’ll share the exact framework I use to help ambitious product teams get from “AI-curious” to “AI-powered” — without wasting time or getting lost in complexity.

Why Most AI Strategies Fail

Most teams stall on their AI ambitions because they make predictable mistakes:

  • They wait for a perfect, all-encompassing plan that never arrives.
  • They get lost in endless research, trying out a dozen tools without a clear goal or way of measuring success.
  • They try to “apply AI” to everything at once, boiling the ocean instead of starting a fire.
  • They forget that speed and feedback matter more than finding the ‘perfect’ AI tool.

A Better Approach: Speed, Clarity, and Action

I’ve seen teams transform their product roadmaps, not by endlessly debating every possible AI use case, but by picking one high-impact problem and running a focused experiment.

The fastest wins come from:

  • Ruthlessly prioritising what matters.
  • Piloting in the real world, not just in slide decks.
  • Building feedback loops so you learn and adapt, fast.

The Framework: From Idea to Impact in Four Steps

Here’s how you can get started this week:

  1. Audit Your Capabilities: What is your team already good at? Where are the genuine skill gaps? Be honest.
  2. Prioritise One Use Case: Don’t chase everything. Pick one problem where AI could truly move the needle. Is it customer support, code generation, or data analysis? Choose one.
  3. Start Small, Move Fast: Launch a pilot. Ship something—even if it’s rough. Get it in front of real users and see what happens.
  4. Build Feedback Loops: Set up simple ways to measure, learn, and iterate. Progress over perfection.

Next Level: How I Help Teams Win

This framework is a starting point. If you’re ready to accelerate your progress, I offer tailored services to help you build, launch, and scale with AI, including:

  • AI Product Strategy Sprints: A focused engagement to define your roadmap.
  • Hands-on Workshops: Practical training to upskill your team.
  • Ongoing Advisory: Continuous support to keep you on track.

Learn more about my services here or reach out directly for a chat.

Conclusion

AI isn’t a distant moonshot — it’s a practical lever you can pull right now. The teams that win are the ones who move, learn, and adapt faster than everyone else.

Ready to make your AI product strategy real? Let’s talk.

Andy Carroll

Andy Carroll

Product Leadership & AI Strategy

Andy helps tech leaders build exceptional products, scale high-performing teams, and drive sustainable revenue growth.

#AI #Product Management #Strategy
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