How to be AI Ready: Building a Team That’s Confident With AI

Many organisations keen to adopt AI technologies think they’re “AI-ready” because they’ve rolled out permissions to use an AI platform like Copilot or ChatGPT. However, this often leads to frustrations when AI use is sporadic or inefficient – causing leaders to believe that their teams and people are resisting a well-intentioned platform rollout.

But the reality is that teams and people aren’t the issue. What’s often misunderstood is that being AI ready is about much more than just rollout: mindset, safety and the sharing of useful habits all play a key part in establishing a team confident with AI.

Why most teams aren’t as AI-ready as they think

AI use is happening quietly in most organisations. People experiment behind the scenes using ChatGPT for a summary here, Copilot for an email there – because they’re not sure what’s allowed. In fact, recent survey results suggest that almost a third of the workforce may be paying for their own AI tools, often without their manager’s knowledge.

That silence is a warning sign. It means there’s curiosity but not confidence… or worse still, usage outside of compliance. Without shared language or clear guardrails, you don’t get a confident, compliant team – you get a collection of cautious individuals or secret AI users.

True AI readiness starts when teams feel safe to talk about AI use openly. Not as a side project, but as part of how they work.

If you’re unsure what good AI culture could look like in practice, take a look at Google’s Project Aristotle, which is one of the clearest illustrations of how open dialogue and psychological safety drive high-performing teams.

What does an AI-ready team actually look like?

At VTT, we measure AI-readiness across four dimensions – Mindset, Confidence, Behaviour and Safety.

How to measure AI readiness

Here at VTT, what we know is that readiness comes from consistent, confident habits.

You can benchmark your own organisation’s progress by exploring the Cisco AI Readiness Index, which tracks global maturity levels across skills, governance and infrastructure.

How to be AI ready as a team

The most effective way to become an AI ready team is to establish a repeatable rhythm.

In our AI-Ready Teams workshop, we use a simple three-step roadmap to AI readiness: Share – Spot – Stretch.

1. Share – Take stock together.
   Ask everyone what they’re already doing with AI, what’s working and what’s not. Actually share screens to demonstrate not just the results but the workings of how the outcome was reached. You’ll probably find your team’s already using AI more than most people admit, but that’s still a good starting point.
2. Spot – Choose your first experiment.
   Identify one task AI could make quicker, smarter or less boring. Set a simple before-and-after metric – even if it’s “saved us one meeting.” Then find your next use cases to experiment with. Remember, if it doesn’t work out, that’s still learning and progress!
3. Stretch – Build on your wins.
   Once the small wins start, make them visible. Share prompts, run five-minute team debriefs and share success stories. Begin to explore what’s new with the tech to identify use-cases that create opportunities you hadn’t even considered.

Here’s a quick example from VTT: When ChatGPT rolled out their GPT feature, we were super excited to find a use for it. We played with the idea of a GPT which could sit alongside some of our workshops or programmes to support participants beyond the live events. This became our Pocket Coach, which participants on our Manager and Leadership programmes are loving! They can get reminders, advice, practice and further development 24/7. 

The point here is that we didn’t develop this to solve a problem. We were inspired by the tech to stretch our current offering to build on our existing wins.

For teams looking to balance experimentation with ethics, Amy Edmondson on Psychological Safety is a must-read for understanding how safety enables smart risk-taking.

Common blockers that stop teams from becoming AI ready

There are three familiar challenges that we have seen again and again:

• “We don’t have time”. You probably do – you just haven’t freed it up yet. Start by spotting where AI could save you ten minutes here or an hour there, and reinvest that time in learning developing more AI useage.
• “We’re not sure what’s safe”. Keep it simple. Create a one-page AI Charter that spells out what’s OK, what’s not, and when you’ll review it. It’s about giving people clarity, not about feeling controlled.
• “Not everyone’s confident”. That’s fine. Pair up the cautious with the curious and let them experiment together. Confidence grows fastest when it’s shared.

One organisation we spoke to built in an AI hour every week with ring-fenced time to play, explore and experiment. They found AI usage AI-talk increased surprisingly quickly.

How to be AI ready in 30 days

Here’s a quick plan you can borrow:

Week 1 – Take the pulse.
Run our AI Readiness Self-Assessment together and discuss the scores as a team.

Week 2 – Pick one quick win.
Choose a single task to automate or adapt using AI. Pick something you feel could be improved or streamlined, ideally that’s measurable.

Week 3 – Share your result.
Share your before-and-after story… What metrics shifted? What did you learn? How can you build on this?

Week 4 – Stretch.
Agree on three habits to maintain momentum – such as a monthly “AI check-in” or prompt-sharing session. Choose a new piece of AI tech to explore further.

Final thought: Readiness isn’t a state, it’s a habit

AI readiness isn’t a finish line you cross, it’s a culture you build. And it starts with small, visible actions that build trust and curiosity.

When teams talk, test and track together, confidence grows and risk drops.

Want further inspiration? Check out our practical guide From Resistance to Readiness: Building Confidence in AI Adoption. Get curious, get experimenting, and get a little messy! That’s how your team will become truly AI ready.