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What you see in the
initial use cases for AI

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is really the productivity
and efficiency improvements

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for the people in an organisation,

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providing those general-use
productivity tools

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and giving them those tools

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so they can make their work
more efficient.

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But it's not where people
are going to see the returns

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that everybody's looking for
in the world of AI.

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Leaders who are seeing
positive financial results from AI

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are much more likely to use it
across their value chain

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and in more sophisticated ways.

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These outliers are about twice
as likely as their peers

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to have scaled or embedded AI
across major business functions,

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including strategy,
marketing, supply chain,

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and support services
like finance, IT, and HR.

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When companies put AI
in more places and push it deeper

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into day-to-day execution,
they see better results.

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The organisations
that go after the hard problems,

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they put the more sophisticated
deployments in place.

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Those organisations are
seeing outsized return,

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both top line and profitability.

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That's a really important insight
because what it tells you

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is that the power of AI,
the ROI for AI, is in the hard problems:

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the large-scale work transformations
that are workflow-oriented,

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value-oriented,
not just task- or individual-oriented.

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So how can your company maximise
AI use in more impactful ways?

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It starts with a phased approach.

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Identify a small number of

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high-volume workflows
that can deliver real business value.

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Define AI guardrails early and assess
where it can handle

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repeatable judgment calls, leaving
humans to focus on exceptions.

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Put it all together, and you make
AI integral to how the business runs.

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And that is the key to realising
top-tier performance.