Industry-leading insights
Being pioneers in the space, we love to share our thinking to further push the envelope on what can be achieved with the right digital strategy.
The Two AI Conversations Happening at Once
Two conversations are happening about AI right now, often in the same room.
In one, AI is transforming everything. Productivity is up across every function. Drafts get written faster. Reports get assembled faster. Companies are reorganizing around what AI can do, the future is rewriting itself, and ...
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Why AI Strategy Struggles to Reach Execution
There is no shortage of AI strategy right now.
Organizations are investing time in defining priorities, identifying use cases, and aligning leadership around where AI can create value. The conversations are happening, the intent is there, and in many cases the thinking is sound.
What is less visible ...
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Why Workflow Design Matters More Than the AI Model
There’s a lot of attention right now on selecting the right AI model. Teams compare performance, speed, and output quality, often assuming that choosing the best model will determine the success of their AI initiatives.
Those factors do matter, but in practice they are rarely the deciding variable. ...
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AI Is Everywhere. The Work Is Mostly the Same.
Most organizations now have AI. Most organizations still operate the way they did before they had AI.
Both of those statements are true. They shouldn't both be.
That's the part of this moment that doesn't quite add up yet, and it's worth spending a minute on.
What "everywhere" actually looks like no ...
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Execution Is the Strategy
Most organizations have a sense of direction.
There are priorities, initiatives, and a general understanding of where the business is trying to go. In some cases, that direction is clearly defined. In others, it is interpreted differently across teams or evolves over time.
What tends to be less clea ...
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AI Doesn’t Scale Without an Operating Model
Most organizations don’t have a problem getting AI to work. They have a problem getting it to scale in a way that holds up over time.
In many cases, the early results are strong. A team identifies a use case, applies a model, and sees immediate gains. Tasks become more efficient, outputs improve, an ...
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