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How to Build an AI-Ready Team Without Becoming an AI Expert

Written by Preston Chandler | Aug 13, 2025 1:00:00 PM

I’ve seen the look too many times. A smart, capable leader hears “AI strategy” and suddenly the pressure to become a technologist lands squarely on their shoulders. As if leading a company wasn’t enough, now they’re expected to become experts in neural networks, large language models, and prompt engineering.

But that’s not the kind of leadership AI demands.

You don’t need to master the tech to prepare your team for an AI-powered future.

In fact, the most important work you can do has nothing to do with the tools—and everything to do with how your team thinks, learns, and collaborates.

The Real Challenge Isn’t AI. It’s Us.

Most companies trying to “adopt AI” are jumping ahead to tools and tactics. They’re rolling out copilots before addressing the real constraints that will hold back adoption:

  • Teams that hoard knowledge instead of sharing it
  • Leaders who reward certainty over curiosity
  • Cultures built for control, not exploration

If you drop AI into a siloed, risk-averse environment, you won’t get innovation. You’ll get mistrust, misfires, and missed opportunity.

So what makes a team “AI-ready”?

The Traits of an AI-Ready Team

At Centered, we’ve studied what sets high-performing, AI-empowered teams apart. It turns out, they share three foundational traits:

1. Curiosity Over Certainty

AI changes fast. Yesterday’s best practice may be outdated tomorrow. That means we need people who ask better questions instead of pretending to have all the answers. The most dangerous phrase in an AI-powered company? “That’s how we’ve always done it.”

2. Collaboration Over Control

AI isn’t a solo sport. It thrives in environments where people experiment, share learnings, and build on each other’s ideas. That means psychological safety isn’t optional—it’s the operating system.

3. Adaptability Over Perfection

If your team is waiting to “get it right” before taking action, they’re already behind. AI-ready teams test, learn, and pivot. They embrace imperfection as a feature, not a flaw.

Three Moves to Make Now

You don’t need a massive initiative to start building AI-readiness. You just need momentum. Here are three simple moves you can make this month:

✅ 1. Run a Curiosity Sprint

Pick a challenge your team is facing. Instead of solving it directly, have the team generate 20 questions about the problem. Then explore how tools like ChatGPT might offer fresh perspectives. The goal isn’t the perfect answer—it’s better questions.

✅ 2. Normalize Experimentation

Carve out an “AI sandbox” for your team to play. Give permission to try out tools, document what works (and what doesn’t), and share learnings openly. This creates a flywheel of discovery.

✅ 3. Use the AI-Ready Self-Assessment

We’ve created a simple tool to help teams gauge where they are on their AI readiness journey. It’s not a technical checklist—it’s a reflection on how your team thinks and works.
👉 Access the AI-Ready Quickstart Guide

What’s Next?

Being AI-ready isn’t about having the perfect strategy. It’s about having the right environment—one where learning outpaces fear, and where people are trusted to explore new frontiers together.

You don’t have to be the AI expert in the room.

You just have to create the room where AI can thrive.