Inspire new thinking

There's no shortage of predictions about AI and the future of work. The hard part is knowing which ones matter for your people. We help you cut through the noise with talks grounded in research and in what we see L&D teams actually doing.

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What's next for L&D

A session for your L&D team on what's shifting in the field right now, drawn from Offbeat's research and community. We look at which trends are gaining real traction and which are mostly noise. Your team leaves with a clearer sense of where to put their energy next.

Learning in the age of AI

A talk for your wider organisation on the skills that don't expire: how to keep learning and adapting when the tools change every few months. We cover why learning well matters more now than it did before AI, and what people can start doing differently in their own work. It works well as a keynote for an offsite, a team day, or a company-wide event.

Case Study

Challenging traditional learning mindsets at an entertainment company

The HR business partners at an entertainment company saw a problem coming. Beliefs about learning across the company were traditional, and they wouldn't serve the transformation ahead or the way work was changing.

We ran a series of interactive sessions with the product management department. Participants unpacked what they believed about learning, compared it with what the research actually says, and explored self-directed learning habits they could bring into their work.

The HR business partners reported some of the highest attendance and engagement they had ever seen. People left with new insights, and with questions to keep exploring.

Let’s talk

Every team starts somewhere different. Tell us about yours, and we'll work out the right next step together.

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Other ways to work together

Develop your L&D team

Programs that help your team adapt as the L&D job changes, one step at a time.

Improve your L&D practice

Hands-on support with your L&D strategy or a specific challenge.

Build the agent–human L&D team

Support to design an L&D team where people and AI agents each do what they do best.

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