AI - moving from experiments to organisational-wide integrations responsibly

Most organisations have run their AI experiments by now. The proof-of-concepts, the pilot projects, the scattered use of chatbots and copilots across teams. But few have managed to move from isolated experiments to a widespread, orchestrated integration of AI across the organisation.

How do we take that next step?

In this session, we present a model for the conversations every organisation needs to have when scaling AI beyond the experimental stage. We touch on focus, governance, data, mindset, and ethics. These are not separate work streams to tackle in isolation, but interconnected topics that shape how AI takes hold across a business.

Together, we’ll examine:

• Why a clear focus is the difference between AI that scales and AI that stalls.

• How governance and data practices create the guardrails that make broader adoption possible, and safe.

• Why mindset and ethics are just as central as technology when it comes to real organisational change.

We’ll also share a case example of how to configure an AI Playbook and establish an AI Lab – a practical way to translate the model into something an organisation can actually run with.

You’ll leave with a model you can use to move AI from scattered experiments to something your whole organisation can build on.