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Automation, or robotization, is seen as a potential game-changer for enabling. This can be directed at labor arbitrage, with success measured by the number of human jobs eliminated, or it can be more about better informed decision-making enabled by improved machine learning. In fact, use of automation can go beyond these narrow objectives by taking […]

Automation, or robotization, is seen as a potential game-changer for enabling. This
can be directed at labor arbitrage, with success measured by the number of human
jobs eliminated, or it can be more about better informed decision-making enabled by
improved machine learning. In fact, use of automation can go beyond these narrow
objectives by taking an end-to-end view of the entire IT landscape and focusing on
strategic competitive performance for the entire business.

Automation of this kind is at an early stage of development. Many organizations claim
to be doing it but most projects remain small-scale proofs of concept, which can never
be scaled to enterprise level. It’s also worth noting that external providers often find
they are being asked to carry the entire risk of such projects, with no payment until (for
example) jobs are eliminated. In reality, this puts off the need to make real decisions. It
is not a long-term solution to the dilemma of change.

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