James Kuht MBE, CEO and Co-Founder of PAIR, has seen that shift first-hand during PAIR’s recent expansion in the US:

“Over the past few weeks in the US, I’ve seen just how much anticipation there is around Claude. The question is shifting from what Claude can do to how quickly organisations can turn it into workflow, performance and ROI gains.”

That is why we are bringing Claude into PAIR through our Hands-on AI Masterclass and our new Agentic AI Masterclass, giving customers a structured way to build capability around one of the world’s most important AI systems.

Closing the imagination gap with Claude

Claude is not just another tool for teams to experiment with.

Used well, it can become a serious partner for high-quality knowledge work: helping people think more clearly, synthesise information, improve writing, reason through complex problems and make better decisions.

But most people are still only using a fraction of what it can do.

As Joe Torjussen, Head of Learning Design at PAIR, puts it:

“Like ChatGPT and Copilot before it, Claude genuinely changes what high-quality knowledge work can look like. But most people are still only using a fraction of what it can do.”

That is the gap PAIR is designed to close.

More specifically, it's the imagination gap: the distance between knowing how to use an AI tool and knowing how to use it to transform your own work.

With the latest agentic AI tools, from Claude Cowork to Codex, that gap is wider than ever. It is no longer enough to know how to type into a chatbot. The real value comes when people can see where AI changes the workflows, priorities and decisions that define their role.

That is why personalisation matters.

PAIR gives users individually personalised exercises directly relevant to their work priorities, so they can apply AI skills to the work in front of them. The gap between learning and application should not be weeks or months. It should be as close to zero as possible.

Our Hands-on AI Masterclass helps users move from trying Claude to working with Claude properly. Through practical tasks and applied workflows, teams build the confidence to brief Claude well, challenge its outputs and apply it to the work they actually do.

The goal is not passive learning. It is real capability.

From prompting to partnering

Claude also points towards the next phase of workplace AI: the move from assistance to delegation.

That is why we are also launching our new Agentic AI Masterclass.

This new track helps users understand how to brief, guide and manage AI agents as part of how work gets done. It builds on the practical confidence developed in the Hands-on AI Masterclass and helps teams prepare for a more agentic way of working.

For Joe, this is the learning shift that matters most:

“As AI moves from assistance towards delegation, PAIR helps users build the confidence to brief, challenge and work with Claude properly, so they can do their best work, faster.”

What this means for PAIR customers

With Claude now live in PAIR, customers can build capability around frontier AI with the structure, scale and confidence enterprise adoption requires.

For users, that means practical, hands-on learning with one of the most capable AI systems available today.

For organisations, it means a faster route from AI excitement to workforce capability, helping teams keep pace as the tools themselves advance.

As James says: “Bringing Claude into PAIR is an important milestone. It helps move the AI conversation from prompting to partnering, and marks a major step in our mission to help workforces keep pace with frontier AI, not as spectators, but as confident, capable users.”

And this is the bigger point: AI capability is no longer static. The tools are improving quickly, and the organisations that benefit most will be the ones that can help their people learn, adapt and apply new capabilities just as quickly.

Claude is live in PAIR today.

And we cannot wait to see what our customers build with it.

Curious what Claude could unlock for your teams?

Speak to the PAIR team.