What is the SHIFT framework?

The SHIFT framework describes how organisations move from experimenting with AI to embedding it into everyday work.

Many organisations already have access to AI tools. The real challenge is helping teams adopt them effectively and sustainably.

The SHIFT framework focuses on the human side of this transition, helping people build the skills, confidence and habits needed to work effectively with AI.

The challenge of AI adoption

In many organisations, AI adoption slows down for three main reasons:

• teams are unsure how to apply AI in their daily work

• people worry about changing familiar ways of working

• early experimentation doesn’t translate into lasting change

Without a clear structure for learning and applying AI, adoption can remain fragmented across teams.

How the SHIFT framework supports adoption

The SHIFT framework helps organisations move through the stages of AI adoption by combining learning with practical application.

Teams are supported to:

• develop practical AI skills they can use in everyday work

• identify opportunities where AI can improve productivity or outcomes

• experiment with real workflows and learn from the results

• embed new habits so AI becomes part of how teams operate

This structured approach helps organisations move beyond isolated experimentation and build lasting capability.

Making the transition to AI

AI adoption is not simply about introducing new tools.

It requires organisations to support teams as they adapt their workflows, develop new skills and rethink how work is done.

Frameworks like SHIFT help guide this transition by focusing on people, learning and practical application.