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AI at Work: What Changes Next

AI at work has moved beyond getting people to use the tools. The harder challenge is turning individual AI use into consistent ways of working across teams.

AI is changing how work gets done faster than most organisations are changing the way they work.

AI use is growing quickly, but in many organisations it’s still sitting at the surface. Individuals are using the tools, productivity is improving, but the processes, workflows and ways of working around them haven’t kept up. So adoption stalls. 

We see this gap every week through our work with teams: building capability, redesigning workflows and helping organisations move beyond individual AI use. The wider research backs it up too. Deloitte, BCG and McKinsey all point to the same pattern: adoption is moving faster than organisations are redesigning work around it.

These guides look at what it takes to close that gap: what gets in the way, what helps, and what needs to change to create value at scale. 

Built from our work with teams at:

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The Four Questions.
Organisations Are Now Asking

01    How do we scale AI beyond individual use?

We Implemented AI. Now what?

Why organisations get stuck in the messy middle.

02    How do we get people to actually change how they work?

How to Make AI Adoption Stick

Why giving people the tools and training isn’t enough to change behaviour.

03    What happens when AI makes execution easier?

The AI Strategy Gap: What It Is + How to Start Closing It

Why AI capability is moving faster than the strategy and thinking around it.

04    How do we know AI is actually creating value?

Where’s the ROI?

Why measuring time saved only tells part of the story.

Need help putting this into practice?

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