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AI Automation Explained Print

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Using AI within automated processes.

WHAT IT MEANS

Embedding AI capability into a workflow so tasks complete without a person at each step.

EXAMPLES

Incoming enquiries categorised and routed Documents read and data extracted into a system Draft responses prepared for review Content summarised automatically Transactions screened

WHAT MAKES A TASK SUITABLE

High volume, so automation is worth building Consistent structure Errors that are detectable and tolerable A clear definition of correct

WHAT MAKES A TASK UNSUITABLE

Rare tasks, where building automation costs more than doing them Consequential decisions Situations requiring judgement about context

THE HUMAN IN THE LOOP QUESTION

For anything consequential, AI prepares and a person approves.

That captures most of the time saving while retaining accountability.

WHERE AUTOMATION FAILS

When nobody checks the output, and errors accumulate unnoticed.

Build in review, at least by sampling.

STARTING POINT

Automate the drafting, not the deciding.


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