Generates first-draft support responses based on issue type, account metadata, and knowledge snippets. The workflow speeds up queue handling while preserving a review step for sensitive cases.
A practical deployment pattern is to let agents draft, then let humans approve or edit. Over time, the approved responses become training signals for better prompting.