In plain language
AI uses models and data to produce useful outputs where fixed rules alone may be impractical, but those outputs still require appropriate oversight.
Example
An intake workflow uses AI to classify a support request before a human reviews the suggested category.
Related terms
large language model · Prompt · Hallucination · Automation
Common misconception
AI does not understand, reason, or guarantee truth in the same way a person does simply because its response sounds confident.
Implementation guidance
Start with a bounded task, define acceptable error rates, minimize sensitive data, evaluate on representative examples, and retain human review for consequential decisions.