Your AI strategy is really an operating-model problem
Why most AI pilots never scale, and the four organisational changes that fix it.
Nearshoring, inventory buffers and the return of the regional warehouse.
Nearshoring, inventory buffers and the return of the regional warehouse. In this article we share what we have learned from recent client work and from our own research across more than 400 organisations.
The most successful programmes we see begin by naming the handful of decisions that will change. Only then do they choose data, processes and technology. It sounds obvious, yet fewer than one in three companies we surveyed could list the decisions their last transformation was meant to improve.
Every initiative needs one named executive who will be asked about it at every monthly review. Shared ownership is a polite way of saying nobody is accountable.
If a target does not have a name next to it, it is not a target. It is a wish.
Impact should be reported in the same numbers the finance team uses to close the books. That keeps everyone honest and makes the next funding conversation far easier.
Pick one initiative already under way and test it against these three questions. If it fails any of them, fix that before adding anything new to the portfolio.
Why most AI pilots never scale, and the four organisational changes that fix it.
A two-day agenda, the pre-reads that matter and the questions to ask.
Lessons from 230 integrations on protecting the value in the model.
30 ready-made demos
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