Repetition between the useful steps
Information arrives in disconnected ways and needs the same processing every time before anyone can act on it. The task is not difficult, which is exactly why it is expensive to keep doing by hand.
Pattern 02 · AI automation
When the work is handling, not thinking.
The constraint is rarely missing data. It is the repeated manual handling between intake, interpretation and operational follow-up.
Automate the handling, keep the judgement
Extract the signals, structure them, and route them into the next action automatically. Human attention moves to the decisions that actually need it, and the routing rules stay visible rather than buried in a model.
Attention goes where it is worth something
The repetitive layer runs unattended and reports what it could not handle, so the team is reviewing exceptions instead of processing everything.
Principles
How I keep it honest.
Use AI where it earns its place
Where a regular expression and a validation rule would do the job, I write those instead. AI is for the parts that genuinely need interpretation.
Fail loudly
An automation that quietly does the wrong thing is worse than one that stops and asks. Everything reports what it skipped and why.
Test the automation
If it runs unattended it needs a test suite, because nobody is watching it produce the wrong answer.
Next step
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