Start where work slows down
Look for repeatable tasks, fragmented knowledge and decisions that require unnecessary manual effort.
Keep people in the process
Human review, careful data handling and clear accountability help make AI systems useful and trustworthy.
Prove value with a small pilot
Choose one narrow workflow and measure the quality of its output, the time saved and the experience of the people using it.
Scale with intention
Build on the workflows that actually work. Avoid treating automation as an end in itself.
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